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Game AI

511 directly classified papers

Papers per year

Papers

MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020
Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020
Bounding Regret in Empirical Games AAAI 2020
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020
The NetHack Learning Environment NIPS 2020
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium NIPS 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NIPS 2020
Robust Multi-Agent Reinforcement Learning with Model Uncertainty NIPS 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games NIPS 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games NIPS 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020
Accelerating Reinforcement Learning through GPU Atari Emulation NIPS 2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games NIPS 2020
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract) AAAI 2020
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CORL 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020
Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020
Inferring DQN structure for high-dimensional continuous control ICML 2020