Dungeon Crawl Caster Guide
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Barbarian Conquerors of Kanahu Draft V2.2
BARBARIAN CONQUERORS OF KANAHU DRAFT V2.2 INTRODUCTION Barbarian Conquerors of Kanahu (BCK) is a sword & sorcery, horror, and science-fantasy setting sourcebook for the Adventurer Conqueror King System (ACKS). BCK presents new monsters, magical items, technology, spells, classes, and variant rules, all packaged together in Kanahu, a dangerous world of pulp fantasy that embraces the new material. The setting itself, the world of Kanahu, is a gonzo sword & sorcery milieu with dinosaurs, Cthulhoid creatures, giant insects, crazy sorcerers, muscled barbarians, city-states, and even some science-fantasy elements. It also draws on the myths of the Ancient Near East and pre-Columbian Mesoamerica for inspiration. The book contains material fully compatible with the ACKS core system, and almost everything from the Kanahu setting is readily transferrable to other ACKS settings. ABOUT THE AUTHOR I, Omer G. Joel, am a freelance Hebrew-English-Hebrew translator from Yavne, Israel. I live with my spouse, Einat, and our two cats Saki and Chicha – as well as an entourage of wild house geckos and even a painted dragon (Stellagama stellio) who grace the walls of our house in the warmer months. Besides science fiction, fantasy, and tabletop role-playing games, my interests include herpetology, cooking, history, and computer gaming. I am proud to present this book after more than two years of intermittent work, and despite the terrible burden of the Post Traumatic Stress Disorder (PTSD) I suffer from, which at times leaves me at a dire state. But I fight on, and write, and here is the result of my work. DEDICATION This book is dedicated to the love of my life – Einat Harari. -
The Nethack Learning Environment
Accepted to the ICLR 2020 workshop: Beyond tabula rasa in RL (BeTR-RL) THE NETHACK LEARNING ENVIRONMENT Heinrich Küttler Nantas Nardelli Roberta Raileanu Facebook AI Research University of Oxford New York University [email protected] [email protected] [email protected] Marco Selvatici Edward Grefenstette Tim Rocktäschel Imperial College London Facebook AI Research Facebook AI Research [email protected] University College London University College London [email protected] [email protected] ABSTRACT Hard and diverse tasks in complex environments drive progress in Reinforcement Learning (RL) research. To this end, we present the NetHack Learning Environment, a scalable, procedurally generated, rich and challenging en- vironment for RL research based on the popular single-player terminal-based roguelike NetHack game, along with a suite of initial tasks. This environment is sufficiently complex to drive long-term research on exploration, planning, skill acquisition and complex policy learning, while dramatically reducing the computa- tional resources required to gather a large amount of experience. We compare this environment and task suite to existing alternatives, and discuss why it is an ideal medium for testing the robustness and systematic generalization of RL agents. We demonstrate empirical success for early stages of the game using a distributed deep RL baseline and present a comprehensive qualitative analysis of agents trained in the environment. 1 INTRODUCTION Recent advances in (Deep) Reinforcement Learning (RL) have been driven by the development of novel simulation environments, such as the Arcade Learning Environment (Bellemare et al., 2013), StarCraft II (Vinyals et al., 2017), BabyAI (Chevalier-Boisvert et al., 2018), and Obstacle Tower (Juliani et al., 2019). -
Doomrl Cheats
Doomrl cheats click here to download The DoomRL is not that hard, just we (players) are spoilt by the easy games in which you can use SAVE & LOAD till you get the result that Author Topic: [M|AoLT|99%|YASD] Oh what's this? Oh no, it's. Cheats in DoomRL. >>. rekenne: That would, I think, be a sight of true beauty and rapture. LockeCarnelia: Yes Yes it would. Although I think you. Welcome to the DoomRL modules tutorial. The objective of this guide is to explain how to develop your own modules for DoomRL as easily and. Download DoomRL Trainer for free! On this page you can find all the newest codes, trainers & cheats for DOOM: The Roguelike. Trainer from. Haha, yes, using cheats is considered cheating by most people. Testing out new weapons in a Beta is never a bad thing, so don't worry about it. DoomRL is probably one of the most creative knock off of a game I And to anyone who has played the original Doom, the old cheats /did/. Part 2 - www.doorway.ru?v=QHXkDSfxwkI Technician, Nightmare, 6 video parts Thanks for your. DoomRL. That is, Doom, the Roguelike. Yes, DOOM, one of the best known original . This cheat code refuses to be erased from my memory. All the latest and hottest DoomRL news and rumors. You can't stop memory editing cheats, so design your game so that such . One very effective technique used by some roguelikes (DoomRL. I'm having trouble with doomrl (the addon for doomrpg, not the standalone game). -
The Living Dungeon: Space, Convention, and Reinvention in Dungeon Games
The Living Dungeon: Space, Convention, and Reinvention in Dungeon Games by Zachary Selman Palmer thesis submitted in partial fulfillment of the requirements for the degree of #aster of rts Department of Digital Humanities %niversity of lberta & Zachary Selman Palmer, 2019 Abstract cross digital and tabletop gaming, the ‘dungeon’ has been a generic setting with enduring popularity for decades. staple of games of medieval fantasy-themed adventure, the traditional dungeon is a subterranean labyrinth full of monsters, traps, and treasures into which brave or foolish adventurers face danger for glory or gold. This thesis recogni0es ‘the dungeon’ as it relates to game production and game culture as a peculiarly rich spatial concept. Through this work, I ans-er ans-ering not just “-hat is a dungeon?6 – but, more provocatively, “-hat could be a dungeon?6 or 4-hat does a dungeon do56 Ultimately, I argue the dungeon operates much like a genre, establishing a commonly-understood range of expectations for game creators and a comfortable range of expectations for game audiences and providing opportunities for subversion. I turn to game studies, implementation of genre as more than a taxonomic label, but a communication tool that provides a range of predictable expressions and experiences for creators and audiences that also creates the possibility for subversion. I argue that the dungeon convention provides much the same advantages of a genre to game creators and game audiences. s a dungeon is a convention of space and not a cultural work in itself, my understanding of genre is supplemented by an understanding of space as actively and culturally constructed through human action. -
Crawl-O-Matic-O-Matic Automated Optimization of Expert Systems with Machine Learning
Crawl-O-Matic-O-Matic Automated Optimization of Expert Systems With Machine Learning Eli Ramthun Department of Computer Science Earlham College Richmond, Indiana [email protected] ABSTRACT section of the game to improve its performance. The optimization This project involves utilizing machine learning techniques to at- will be performed by using machine learning techniques to find tempt to optimize an already existing artificial intelligence (AI) the most appropriate values for a section of qw’s knowledge base. agent that plays the roguelike game Dungeon Crawl Stone Soup If successful, this project will showcase a technique for refining (DCSS). An expert system based AI agent has been developed that is AI’s for more efficient and/or successful operation in stochastic or capable of winning a game of DCSS without human assistance with unpredictable contexts. a low frequency of success. This project aims to utilize machine Next, related works will be discussed. Following that, the design learning to automatically tune the agent to improve its performance and implementation of the project will be documented, followed by optimizing values stored in its knowledge base concerning mon- by results and analysis. ster threat levels. 2 RELATED WORK KEYWORDS This paper focuses upon the optimization of a game playing agent Roguelikes, Machine Learning, Artificial Intelligence, Software Op- for the roguelike game Dungeon Crawl Stone Soup. In accordance, timization, Expert Systemsu it is important to examine both the history and development of gameplay agents for roguelike games. Attempts have been made 1 INTRODUCTION to optimize gameplay agents for games both roguelike and oth- Handcrafted, heuristically developed artificial intelligence (AI) al- erwise - often utilizing machine learning - and these attempts at gorithms currently exist for numerous applications. -
Dungeon Crawl Stone Soup Survey 2012
Dungeon Crawl Stone Soup Survey 2012 Conducted & compiled by jpeg & dpeg Results as of December 29, 2012 Published in February 2014 Contents 1 Introduction 2 2 Summary 3 3 Section A: Who are you?4 A1. How old are you? ........................................................................ 4 A2. What’s your gender? ...................................................................... 5 A3. In what country do you currently reside? .......................................................... 5 4 Section B: What kind of player are you?7 B1. Given the choice, would you rather play Tiles or ASCII?.................................................. 8 B2. Given the choice, would you rather play online or locally? ................................................ 9 B3. Which versions do you actually play nowadays? ...................................................... 9 B4. Outside of (maybe) tournaments, how often do you play Crawl?............................................. 11 B4b. If you hardly ever play or have stopped playing altogether, what’s the main reason for this? ............................ 12 B5. Have you ever won the game (without cheating)?...................................................... 13 B5a. If you have at least one win, just how good of a player are you?............................................. 14 B5b. If you haven’t ever won the game, what was the furthest you ever got?......................................... 14 B6. Before your first win (or up to now, if you haven’t won yet), did you actively read detailed spoilers -
Idea Network Visualisations in Game Jams & Roguelike Games
Statement of Originality Author Declaration This signature certifies that the thesis is of my own research. Where other materials and assistance are involved, due acknowledgement is made with clarity. No parts of this thesis is submitted for another degree or award. It is within the accepted maximum thesis length, and meets the University of Sydney research ethics, protocol 2013/982. Name Ching-Yun “Xavier” Ho Signature Date 29 September 2018 Supervisor Declaration This signature confirms that the statement of originality above is correct and true. Name Martin Tomitsch Signature Date ___ 1 Author Attribution Statement This thesis comprises published conference and journal papers where I am the corresponding author and the main contributor of the research work. The section “Selected Publications” identifies each published work. At the beginning of each chapter containing published work, I provide attributions to the published work. Name Ching-Yun “Xavier” Ho Signature Date 30 September 2018 Supervisor Declaration This signature confirms that the author attribution statement above is correct and true. Name Martin Tomitsch Signature Date ___ 2 This thesis is dedicated to many beautiful things that inspired us From who we were to who we are and who we will become We are travelling on a journey of discovery full of curiosity To create many beautiful things that inspire others ___ 3 Acknowledgement Countless people have been a part of my research journey to this point. All of them have my wholehearted, honest-to-earth gratitude and timeless appreciation. Thank you so much for helping me when I need you the most, celebrating those small wins and milestones, and giving me timely criticism when my mind wanders off paths. -
Monday 9 November 2015 TIME: 10:30 Am
UNIVERSITY OF WATERLOO SENATE GRADUATE & RESEARCH COUNCIL NOTICE OF MEETING DATE: Monday 9 November 2015 TIME: 10:30 a.m. – 12:00 noon PLACE: Needles Hall, Room 3001 AGENDA Item Action 1. Amendment to Standard Language Included on Course Syllabi* (Amanda McKenzie) SEN-consent 2. Renewal of Senate-approved Centres and Institutes a. Institute for Polymer Research* (Jean Duhamel) Decision (SGRC) b. Centre for Pavement and Transportation Technology* (Susan Tighe) Decision (SGRC) c. The Games Institute* (Neil Randall) Decision (SGRC) 3. Declarations of Conflict of Interest Information a. Excerpt from Bylaw 1, section 8* Information 4. Co-chairs’ Remarks 5. Minutes of 5 October 2015* and Business Arising Decision (SGRC) a. Hira and Kamal Ahuja Graduate Engineering Award and manner of assessing Information cultural contributions (Hildebrandt) 6. Curricular Submissions a. Arts*…………………………………………………………….. E(i) SEN-regular Rest: Decision (SGRC) b. Engineering*…………………………………………………….. Decision (SGRC) c. Mathematics*…………………………………………………… I,II Decision (SGRC) 7. New and Continuing Memberships (Nummelin) a. Human Research Ethics Committee, Re-appointment* Decision (SGRC) 8. Graduate Studies Office (Hildebrandt) a. English Language Proficiency* SEN-regular b. Enrolment and Time Limits* SEN-regular c. Graduate Studies Academic Calendar – Course Drop/Add date* SEN-consent 9. Graduate Awards* (Hildebrandt) a. African Institute for Mathematical Sciences (AIMS) Entrance Scholarship – Decision (SGRC) Faculty of Mathematics operating funds b. Iron Ring Graduate Scholarship – endowment Information c. Xerox Research Scholarship in Polymer Science and Engineering – Information endowment d. Indian Institutes of Technology (IIT) Doctoral Entrance Scholarship – Information operating e. Special Graduate Scholarship - operating Information 10. Augmented Two-Year Report – Management Sciences* SEN-consent 11. 2016-17 Calendar of Dates* (Ray Darling, 11:30 a.m.) SEN-regular SGRC 9 November 2015, page 1 of 339 12.