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Reinforcement Learning
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Game AI
511 directly classified papers
Papers per year
2003: 1
2006: 2
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 1
2013: 3
2014: 3
2015: 3
2016: 5
2017: 20
2018: 33
2019: 51
2020: 67
2021: 83
2022: 69
2023: 59
2024: 69
2025: 24
2026: 8
Papers
Mechanism Design for Facility Location Problems: A Survey
IJCAI 2021
Learning Knowledge Graph-based World Models of Textual Environments
NIPS 2021
Neural Auto-Curricula in Two-Player Zero-Sum Games
NIPS 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
NIPS 2021
Exploiting Opponents Under Utility Constraints in Sequential Games
NIPS 2021
Solving Common-Payoff Games with Approximate Policy Iteration
AAAI 2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAI 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
AAAI 2021
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
AAAI 2021
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model
AAAI 2021
Applied Machine Learning for Games: A Graduate School Course
AAAI 2021
Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)
AAAI 2021
A Data-Driven Approach for Gin Rummy Hand Evaluation
AAAI 2021
A Deterministic Neural Network Approach to Playing Gin Rummy
AAAI 2021
A Highly-Parameterized Ensemble to Play Gin Rummy
AAAI 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
AAAI 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
AAAI 2021
Regularized Softmax Deep Multi-Agent Q-Learning
NIPS 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NIPS 2021
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks
IJCAI 2021
ChainerRL: A Deep Reinforcement Learning Library
JMLR 2021
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
NIPS 2021
Deep Reinforcement Learning for Navigation in AAA Video Games
IJCAI 2021
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
IJCAI 2021
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
IJCAI 2021
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