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Master List of Games This Is a List of Every Game on a Fully Loaded SKG Retro Box, and Which System(S) They Appear On
Master List of Games This is a list of every game on a fully loaded SKG Retro Box, and which system(s) they appear on. Keep in mind that the same game on different systems may be vastly different in graphics and game play. In rare cases, such as Aladdin for the Sega Genesis and Super Nintendo, it may be a completely different game. System Abbreviations: • GB = Game Boy • GBC = Game Boy Color • GBA = Game Boy Advance • GG = Sega Game Gear • N64 = Nintendo 64 • NES = Nintendo Entertainment System • SMS = Sega Master System • SNES = Super Nintendo • TG16 = TurboGrafx16 1. '88 Games (Arcade) 2. 007: Everything or Nothing (GBA) 3. 007: NightFire (GBA) 4. 007: The World Is Not Enough (N64, GBC) 5. 10 Pin Bowling (GBC) 6. 10-Yard Fight (NES) 7. 102 Dalmatians - Puppies to the Rescue (GBC) 8. 1080° Snowboarding (N64) 9. 1941: Counter Attack (TG16, Arcade) 10. 1942 (NES, Arcade, GBC) 11. 1942 (Revision B) (Arcade) 12. 1943 Kai: Midway Kaisen (Japan) (Arcade) 13. 1943: Kai (TG16) 14. 1943: The Battle of Midway (NES, Arcade) 15. 1944: The Loop Master (Arcade) 16. 1999: Hore, Mitakotoka! Seikimatsu (NES) 17. 19XX: The War Against Destiny (Arcade) 18. 2 on 2 Open Ice Challenge (Arcade) 19. 2010: The Graphic Action Game (Colecovision) 20. 2020 Super Baseball (SNES, Arcade) 21. 21-Emon (TG16) 22. 3 Choume no Tama: Tama and Friends: 3 Choume Obake Panic!! (GB) 23. 3 Count Bout (Arcade) 24. 3 Ninjas Kick Back (SNES, Genesis, Sega CD) 25. 3-D Tic-Tac-Toe (Atari 2600) 26. 3-D Ultra Pinball: Thrillride (GBC) 27. -
Newagearcade.Com 5000 in One Arcade Game List!
Newagearcade.com 5,000 In One arcade game list! 1. AAE|Armor Attack 2. AAE|Asteroids Deluxe 3. AAE|Asteroids 4. AAE|Barrier 5. AAE|Boxing Bugs 6. AAE|Black Widow 7. AAE|Battle Zone 8. AAE|Demon 9. AAE|Eliminator 10. AAE|Gravitar 11. AAE|Lunar Lander 12. AAE|Lunar Battle 13. AAE|Meteorites 14. AAE|Major Havoc 15. AAE|Omega Race 16. AAE|Quantum 17. AAE|Red Baron 18. AAE|Ripoff 19. AAE|Solar Quest 20. AAE|Space Duel 21. AAE|Space Wars 22. AAE|Space Fury 23. AAE|Speed Freak 24. AAE|Star Castle 25. AAE|Star Hawk 26. AAE|Star Trek 27. AAE|Star Wars 28. AAE|Sundance 29. AAE|Tac/Scan 30. AAE|Tailgunner 31. AAE|Tempest 32. AAE|Warrior 33. AAE|Vector Breakout 34. AAE|Vortex 35. AAE|War of the Worlds 36. AAE|Zektor 37. Classic Arcades|'88 Games 38. Classic Arcades|1 on 1 Government (Japan) 39. Classic Arcades|10-Yard Fight (World, set 1) 40. Classic Arcades|1000 Miglia: Great 1000 Miles Rally (94/07/18) 41. Classic Arcades|18 Holes Pro Golf (set 1) 42. Classic Arcades|1941: Counter Attack (World 900227) 43. Classic Arcades|1942 (Revision B) 44. Classic Arcades|1943 Kai: Midway Kaisen (Japan) 45. Classic Arcades|1943: The Battle of Midway (Euro) 46. Classic Arcades|1944: The Loop Master (USA 000620) 47. Classic Arcades|1945k III 48. Classic Arcades|19XX: The War Against Destiny (USA 951207) 49. Classic Arcades|2 On 2 Open Ice Challenge (rev 1.21) 50. Classic Arcades|2020 Super Baseball (set 1) 51. -
Android Game Download for Iphone
Android game download for iphone Continue With Box, you can safely store files in the cloud. You can also access information wherever you are at any time. This intuitive app syncs information from your desktop and phone. It is a handy tool when you are in meetings or away from your desk. With Box, you can share the necessary files with your colleagues or update documents from your mobile device. There's also the ability to view different types of files and enjoy full-screen quality. When you install Box, you get 10GB of cloud storage for free. You can add extra security to more sensitive files with file-level security controls. You can access your information and folders offline for added convenience. You can view documents and stored files using a real-time search tool. There is also an easy way to share large files with friends and colleagues. This is done through the link-sharing method. All you have to do is copy the automatically generated link and you're good to go. It's a versatile cloud storage program because you can save photos and videos too. The download speed is slow at times, but in most cases it depends on your network connection. Box is a secure, fast, and user-friendly system to manage important files wherever you are. If you have a phone, you have access to all your important information and folders at the touch of a button. Where can you run this program? This app requires Android version 5.0 and up. Is there a better alternative? No. -
Finding Aid to the Atari Coin-Op Division Corporate Records, 1969-2002
Brian Sutton-Smith Library and Archives of Play Atari Coin-Op Division Corporate Records Finding Aid to the Atari Coin-Op Division Corporate Records, 1969-2002 Summary Information Title: Atari Coin-Op Division corporate records Creator: Atari, Inc. coin-operated games division (primary) ID: 114.6238 Date: 1969-2002 (inclusive); 1974-1998 (bulk) Extent: 600 linear feet (physical); 18.8 GB (digital) Language: The materials in this collection are primarily in English, although there a few instances of Japanese. Abstract: The Atari Coin-Op records comprise 600 linear feet of game design documents, memos, focus group reports, market research reports, marketing materials, arcade cabinet drawings, schematics, artwork, photographs, videos, and publication material. Much of the material is oversized. Repository: Brian Sutton-Smith Library and Archives of Play at The Strong One Manhattan Square Rochester, New York 14607 585.263.2700 [email protected] Administrative Information Conditions Governing Use: This collection is open for research use by staff of The Strong and by users of its library and archives. Though intellectual property rights (including, but not limited to any copyright, trademark, and associated rights therein) have not been transferred, The Strong has permission to make copies in all media for museum, educational, and research purposes. Conditions Governing Access: At this time, audiovisual and digital files in this collection are limited to on-site researchers only. It is possible that certain formats may be inaccessible or restricted. Custodial History: The Atari Coin-Op Division corporate records were acquired by The Strong in June 2014 from Scott Evans. The records were accessioned by The Strong under Object ID 114.6238. -
BANDAI NAMCO Group FACT BOOK 2019 BANDAI NAMCO Group FACT BOOK 2019
BANDAI NAMCO Group FACT BOOK 2019 BANDAI NAMCO Group FACT BOOK 2019 TABLE OF CONTENTS 1 BANDAI NAMCO Group Outline 3 Related Market Data Group Organization Toys and Hobby 01 Overview of Group Organization 20 Toy Market 21 Plastic Model Market Results of Operations Figure Market 02 Consolidated Business Performance Capsule Toy Market Management Indicators Card Product Market 03 Sales by Category 22 Candy Toy Market Children’s Lifestyle (Sundries) Market Products / Service Data Babies’ / Children’s Clothing Market 04 Sales of IPs Toys and Hobby Unit Network Entertainment 06 Network Entertainment Unit 22 Game App Market 07 Real Entertainment Unit Top Publishers in the Global App Market Visual and Music Production Unit 23 Home Video Game Market IP Creation Unit Real Entertainment 23 Amusement Machine Market 2 BANDAI NAMCO Group’s History Amusement Facility Market History 08 BANDAI’s History Visual and Music Production NAMCO’s History 24 Visual Software Market 16 BANDAI NAMCO Group’s History Music Content Market IP Creation 24 Animation Market Notes: 1. Figures in this report have been rounded down. 2. This English-language fact book is based on a translation of the Japanese-language fact book. 1 BANDAI NAMCO Group Outline GROUP ORGANIZATION OVERVIEW OF GROUP ORGANIZATION Units Core Company Toys and Hobby BANDAI CO., LTD. Network Entertainment BANDAI NAMCO Entertainment Inc. BANDAI NAMCO Holdings Inc. Real Entertainment BANDAI NAMCO Amusement Inc. Visual and Music Production BANDAI NAMCO Arts Inc. IP Creation SUNRISE INC. Affiliated Business -
Mastering Atari with Discrete World Models
Published as a conference paper at ICLR 2021 MASTERING ATARI WITH DISCRETE WORLD MODELS Danijar Hafner ∗ Timothy Lillicrap Mohammad Norouzi Jimmy Ba Google Research DeepMind Google Research University of Toronto ABSTRACT Intelligent agents need to generalize from past experience to achieve goals in complex environments. World models facilitate such generalization and allow learning behaviors from imagined outcomes to increase sample-efficiency. While learning world models from image inputs has recently become feasible for some tasks, modeling Atari games accurately enough to derive successful behaviors has remained an open challenge for many years. We introduce DreamerV2, a reinforcement learning agent that learns behaviors purely from predictions in the compact latent space of a powerful world model. The world model uses discrete representations and is trained separately from the policy. DreamerV2 constitutes the first agent that achieves human-level performance on the Atari benchmark of 55 tasks by learning behaviors inside a separately trained world model. With the same computational budget and wall-clock time, Dreamer V2 reaches 200M frames and surpasses the final performance of the top single-GPU agents IQN and Rainbow. DreamerV2 is also applicable to tasks with continuous actions, where it learns an accurate world model of a complex humanoid robot and solves stand-up and walking from only pixel inputs. 1I NTRODUCTION Atari Performance To successfully operate in unknown environments, re- inforcement learning agents need to learn about their 2.0 Model-based Model-free environments over time. World models are an explicit 1.6 way to represent an agent’s knowledge about its environ- ment. Compared to model-free reinforcement learning 1.2 Human Gamer that learns through trial and error, world models facilitate 0.8 generalization and can predict the outcomes of potential actions to enable planning (Sutton, 1991). -
3500-Arcadegamelist.Pdf
No. GameName PlayersGroup 1 10 Yard Fight <Japan> Sport 2 1000 Miglia:Great 1000 Miles Rally (94/07/18) Driving 3 18 Challenge Pro Golf (DECO,Japan) Sport 4 18 Holes Pro Golf (set 1) Sport 5 1941:Counter Attack (World 900227) Shoot 6 1942 (Revision B) Shoot 7 1943 Kai:Midway Kaisen (Japan) Shoot 8 1943:The Battle of Midway (Euro) Shoot 9 1944:The Loop Master (USA 000620) Shoot 10 1945k III (newer, OPCX2 PCB) Shoot 11 19XX:The War Against Destiny (USA 951207) Shoot 12 2 On 2 Open Ice Challenge 3/4P Sport 13 2020 Super Baseball <set 1> Sport 14 3 Count Bout/Fire Suplex Fighter 15 3D_Aqua Rush (JP) Ver. A Maze 16 3D_Battle Arena Toshinden 2 Fighter 17 3D_Beastorizer (US) Fighter 18 3D_Beastorizer <US *bootleg*> Fighter 19 3D_Bloody Roar 2 <Japan> Fighter 20 3D_Brave Blade <Japan> Fighter 21 3D_Cool Boarders Arcade Jam (US) Sport 22 3D_Dancing Eyes <Japan ver.A> Adult 23 3D_Dead or Alive++ Fighter 24 3D_Ehrgeiz (US) Ver. A Fighter 25 3D_Fighters Impact A (JP 2.00J) Fighter 26 3D_Fighting Layer (JP) Ver.B Fighter 27 3D_Gallop Racer 3 (JP) Sport 28 3D_G-Darius (JP 2.01J) Sport 29 3D_G-Darius Ver.2 (JP 2.03J) Sport 30 3D_Heaven's Gate Fighter 31 3D_Justice Gakuen (JP 991117) Fighter 32 3D_Kikaioh (JP 980914) Fighter 33 3D_Kosodate Quiz My Angel 3 (JP) Ver.A Maze 34 3D_Magical Date EX (JP 2.01J) Maze 35 3D_Monster Farm Jump (JP) Maze 36 3D_Mr Driller (JP) Ver.A Maze 37 3D_Paca Paca Passion (JP) Ver.A Maze 38 3D_Plasma Sword (US 980316) Fighter 39 3D_Prime Goal EX (JP) Sport 40 3D_Psychic Force (JP 2.4J) Fighter 41 3D_Psychic Force (World 2.4O) Fighter 42 3D_Psychic Force EX (JP 2.0J) Fighter 43 3D_Raystorm (JP 2.05J) Shoot 44 3D_Raystorm (US 2.06A) Shoot 45 3D_Rival Schools (ASIA 971117) Fighter 46 3D_Rival Schools <US 971117> Fighter 47 3D_Shanghai Matekibuyuu (JP) Maze 48 3D_Sonic Wings Limited <Japan> Shoot 49 3D_Soul Edge (JP) SO3 Ver. -
Evolving Simple Programs for Playing Atari Games
Evolving simple programs for playing Atari games Dennis G Wilson Sylvain Cussat-Blanc [email protected] [email protected] University of Toulouse University of Toulouse IRIT - CNRS - UMR5505 IRIT - CNRS - UMR5505 Toulouse, France 31015 Toulouse, France 31015 Herve´ Luga Julian F Miller [email protected] [email protected] University of Toulouse University of York IRIT - CNRS - UMR5505 York, UK Toulouse, France 31015 ABSTRACT task for articial agents. Object representations and pixel reduction Cartesian Genetic Programming (CGP) has previously shown ca- schemes have been used to condense this information into a more pabilities in image processing tasks by evolving programs with a palatable form for evolutionary controllers. Deep neural network function set specialized for computer vision. A similar approach controllers have excelled here, beneting from convolutional layers can be applied to Atari playing. Programs are evolved using mixed and a history of application in computer vision. type CGP with a function set suited for matrix operations, including Cartesian Genetic Programming (CGP) also has a rich history image processing, but allowing for controller behavior to emerge. in computer vision, albeit less so than deep learning. CGP-IP has While the programs are relatively small, many controllers are com- capably created image lters for denoising, object detection, and petitive with state of the art methods for the Atari benchmark centroid determination. ere has been less study using CGP in set and require less training time. By evaluating the programs of reinforcement learning tasks, and this work represents the rst use the best evolved individuals, simple but eective strategies can be of CGP as a game playing agent. -
Digital Press Issue
Fifty II. Editor’s BLURB by Dave Giarrusso DIGITAL e had a lot of big plans for our 50th issue (“DP# 50: Wfi fty!” just in case your short term memory functions a bit like mine does as of late) and fortunately, most of ‘em made it in. UNfortunately, due to time and space constraints, and a mischievious orange tabby by the name of “Pickles”, a scant few of ‘em got left on the cutting room fl oor. The one portion of the 50th issue that we (okay, actually John) were working really hard on was the “alumni moments” section - a section devoted to all the PRESS game designers and artists who shaped what we’ve come to call our favorite pasttime. As you can probably imagine, it was a big undertaking - too big to make it into the pages of issue #50. DIGITAL PRESS # 52 MAY / JUNE 2003 BUT - guess what? John kept nagging everyone in his most convincing voice Founders Joe Santulli and eventually, with nothing but the most polite coercion, managed to round Kevin Oleniacz up the troops. In fact, everyone had such a blast working with John that we wound up with tons more material than we had originally anticipated having. Editors-In-Chief Joe Santulli Dave Giarrusso Which brings us back to THIS issue - the brainchild of John “Big Daddy” and “I’ll Senior Editors Al Backiel get to it when I get to it” Hardie. DP issue #50. Part II. In DP issue #52. Get it? Jeff Cooper John Hardie So join me in extending a hearty “thank you” to Big John and all of the folks Sean Kelly who took time out of their busy schedules to sit down with us and pass along Staff Writers Larry Anderson some of their favorite gaming anecdotes of the past. -
5794 Games.Numbers
Table 1 Nintendo Super Nintendo Sega Genesis/ Master System Entertainment Sega 32X (33 Sega SG-1000 (68 Entertainment TurboGrafx-16/PC MAME Arcade (2959 Games) Mega Drive (782 (281 Games) System/NES (791 Games) Games) System/SNES (786 Engine (94 Games) Games) Games) Games) After Burner Ace of Aces 3 Ninjas Kick Back 10-Yard Fight (USA, Complete ~ After 2020 Super 005 1942 1942 Bank Panic (Japan) Aero Blasters (USA) (Europe) (USA) Europe) Burner (Japan, Baseball (USA) USA) Action Fighter Amazing Spider- Black Onyx, The 3 Ninjas Kick Back 1000 Miglia: Great 10-Yard Fight (USA, Europe) 6-Pak (USA) 1942 (Japan, USA) Man, The - Web of Air Zonk (USA) 1 on 1 Government (Japan) (USA) 1000 Miles Rally (World, set 1) (v1.2) Fire (USA) 1941: Counter 1943 Kai: Midway Addams Family, 688 Attack Sub 1943 - The Battle of 7th Saga, The 18 Holes Pro Golf BC Racers (USA) Bomb Jack (Japan) Alien Crush (USA) Attack Kaisen The (Europe) (USA, Europe) Midway (USA) (USA) 90 Minutes - 1943: The Battle of 1944: The Loop 3 Ninjas Kick Back 3-D WorldRunner Borderline (Japan, 1943mii Aerial Assault (USA) Blackthorne (USA) European Prime Ballistix (USA) Midway Master (USA) (USA) Europe) Goal (Europe) 19XX: The War Brutal Unleashed - 2 On 2 Open Ice A.S.P. - Air Strike 1945k III Against Destiny After Burner (World) 6-Pak (USA) 720 Degrees (USA) Above the Claw Castle, The (Japan) Battle Royale (USA) Challenge Patrol (USA) (USA 951207) (USA) Chaotix ~ 688 Attack Sub Chack'n Pop Aaahh!!! Real Blazing Lazers 3 Count Bout / Fire 39 in 1 MAME Air Rescue (Europe) 8 Eyes (USA) Knuckles' Chaotix 2020 Super Baseball (USA, Europe) (Japan) Monsters (USA) (USA) Suplex bootleg (Japan, USA) Abadox - The Cyber Brawl ~ AAAHH!!! Real Champion Baseball ABC Monday Night 3ds 4 En Raya 4 Fun in 1 Aladdin (Europe) Deadly Inner War Cosmic Carnage Bloody Wolf (USA) Monsters (USA) (Japan) Football (USA) (USA) (Japan, USA) 64th. -
Object-Sensitive Deep Reinforcement Learning
Object-sensitive Deep Reinforcement Learning Yuezhang Li, Katia Sycara, and Rahul Iyer Carnegie Mellon University, Pittsburgh, PA, USA [email protected], [email protected], [email protected] Abstract Deep reinforcement learning has become popular over recent years, showing superiority on different visual-input tasks such as playing Atari games and robot navigation. Although objects are important image elements, few work considers enhancing deep reinforcement learning with object characteristics. In this paper, we propose a novel method that can incorporate object recognition processing to deep reinforcement learning models. This approach can be adapted to any existing deep reinforcement learning frameworks. State-of- the-art results are shown in experiments on Atari games. We also propose a new approach called \object saliency maps" to visually explain the actions made by deep reinforcement learning agents. 1 Introduction Deep neural networks have been widely applied in reinforcement learning (RL) algorithms to achieve human-level control in various challenging domains. More specifically, recent work has found outstanding performances of deep reinforcement learning (DRL) models on Atari 2600 games, by using only raw pixels to make decisions [21]. The literature on reinforcement learning is vast. Multiple deep RL algorithms have been developed to incorporate both on-policy RL such as Sarsa [30], actor-critic methods [1], etc. and off-policy RL such as Q-learning using experience replay memory [21] [25]. A parallel RL paradigm [20] has also been proposed to reduce the heavy reliance of deep RL algorithms on specialized hardware or distributed architectures. However, while a high proportion of RL applications such as Atari 2600 games contain objects with different gain or penalty (for example, enemy ships and fuel vessel are two different objects in the game \Riverraid"), most of previous algorithms are designed under the assumption that various game objects are treated equally. -
3500 Game List
Compatible With Classic Arcade Game Systems 3500 Game List No. GameName Players Group 1 10 Yard Fight <Japan> Sport 2 1000 Miglia:Great 1000 Miles Rally (94/07/18) Driving 3 18 Challenge Pro Golf (DECO,Japan) Sport 4 18 Holes Pro Golf (set 1) Sport 5 1941:Counter Attack (World 900227) Shoot 6 1942 (Revision B) Shoot 7 1943 Kai:Midway Kaisen (Japan) Shoot 8 1943:The Battle of Midway (Euro) Shoot 9 1944:The Loop Master (USA 000620) Shoot 10 1945k III (newer, OPCX2 PCB) Shoot 11 19XX:The War Against Destiny (USA 951207) Shoot 12 2 On 2 Open Ice Challenge 3/4P Sport 13 2020 Super Baseball <set 1> Sport 14 3 Count Bout/Fire Suplex Fighter 15 3D_Aqua Rush (JP) Ver. A Maze 16 3D_Battle Arena Toshinden 2 Fighter 17 3D_Beastorizer (US) Fighter 18 3D_Beastorizer <US *bootleg*> Fighter 19 3D_Bloody Roar 2 <Japan> Fighter 20 3D_Brave Blade <Japan> Fighter 21 3D_Cool Boarders Arcade Jam (US) Sport 22 3D_Dancing Eyes <Japan ver.A> Adult 23 3D_Dead or Alive++ Fighter 24 3D_Ehrgeiz (US) Ver. A Fighter 25 3D_Fighters Impact A (JP 2.00J) Fighter 26 3D_Fighting Layer (JP) Ver.B Fighter 27 3D_Gallop Racer 3 (JP) Sport 28 3D_G-Darius (JP 2.01J) Sport 29 3D_G-Darius Ver.2 (JP 2.03J) Sport 30 3D_Heaven's Gate Fighter 31 3D_Justice Gakuen (JP 991117) Fighter 32 3D_Kikaioh (JP 980914) Fighter 33 3D_Kosodate Quiz My Angel 3 (JP) Ver.A Maze 34 3D_Magical Date EX (JP 2.01J) Maze 35 3D_Monster Farm Jump (JP) Maze 36 3D_Mr Driller (JP) Ver.A Maze 37 3D_Paca Paca Passion (JP) Ver.A Maze 38 3D_Plasma Sword (US 980316) Fighter 39 3D_Prime Goal EX (JP) Sport 40 3D_Psychic Force (JP 2.4J) Fighter 41 3D_Psychic Force (World 2.4O) Fighter 42 3D_Psychic Force EX (JP 2.0J) Fighter 43 3D_Raystorm (JP 2.05J) Shoot 44 3D_Raystorm (US 2.06A) Shoot 45 3D_Rival Schools (ASIA 971117) Fighter 46 3D_Rival Schools <US 971117> Fighter 47 3D_Shanghai Matekibuyuu (JP) Maze 48 3D_Sonic Wings Limited <Japan> Shoot 49 3D_Soul Edge (JP) SO3 Ver.