Game AI

Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Learning in two-player zero-sum partially observable Markov games with perfect recall NeurIPS 2021 Learning Knowledge Graph-based World Models of Textual Environments NeurIPS 2021 Learning to Represent Action Values as a Hypergraph on the Action Vertices ICLR 2021 Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021 LOA: Logical Optimal Actions for Text-based Interaction Games ACL 2021 Mastering Atari Games with Limited Data NeurIPS 2021 Mastering Atari with Discrete World Models ICLR 2021 Mechanism Design for Facility Location Problems: A Survey IJCAI 2021 ME-MCTS: Online Generalization by Combining Multiple Value Estimators IJCAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Modeling Precomputation In Games Played Under Computational Constraints IJCAI 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market IJCAI 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021 No-Press Diplomacy from Scratch NeurIPS 2021 NovelD: A Simple yet Effective Exploration Criterion NeurIPS 2021 Online Learning in Unknown Markov Games ICML 2021 Prioritized Level Replay ICML 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021 Regularized Softmax Deep Multi-Agent Q-Learning NeurIPS 2021 Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021 Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021