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Game AI

511 papers

Papers per year

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Papers

Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021
Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser EMNLP 2021
Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021
Convex Regularization in Monte-Carlo Tree Search ICML 2021
Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021
Adversarial Policy Learning in Two-player Competitive Games ICML 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
Learning and Planning in Complex Action Spaces ICML 2021
Prioritized Level Replay ICML 2021
Targeted Data Acquisition for Evolving Negotiation Agents ICML 2021
Trajectory Diversity for Zero-Shot Coordination ICML 2021
Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021
Vector Quantized Models for Planning ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
Online Learning in Unknown Markov Games ICML 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II ICML 2021
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits 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
Deep Reinforcement Learning for Navigation in AAA Video Games IJCAI 2021