game ai

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 ELF OpenGo: an analysis and open reimplementation of AlphaZero ICML 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 No-Press Diplomacy: Modeling Multi-Agent Gameplay NeurIPS 2019 On Strength Adjustment for MCTS-Based Programs AAAI 2019 Playing Card-Based RTS Games with Deep Reinforcement Learning IJCAI 2019 Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition ACML 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods AAAI 2019 Algorithms or Actions? A Study in Large-Scale Reinforcement Learning IJCAI 2018 Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari IJCAI 2018 Balancing Two-Player Stochastic Games with Soft Q-Learning IJCAI 2018 Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018 Feedback-Based Tree Search for Reinforcement Learning ICML 2018 High-Fidelity Simulated Players for Interactive Narrative Planning IJCAI 2018 Interactive Learning and Decision Making: Foundations, Insights & Challenges IJCAI 2018 [RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning EMNLP 2018 Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract) IJCAI 2018 Three-Head Neural Network Architecture for Monte Carlo Tree Search IJCAI 2018 ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games NeurIPS 2017 Real-Time Navigation in Classical Platform Games via Skill Reuse IJCAI 2017 Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well ICML 2016 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Performance Bounds for λ Policy Iteration and Application to the Game of Tetris JMLR 2013 A Scalable Machine Learning Approach to Go NeurIPS 2006