conftrace_
← Applications
Reinforcement Learning › Applications ›

Game AI

511 papers

Papers per year

1
3
67
24
'10
'15
'20
'25

Papers

Determinantal Reinforcement Learning AAAI 2019
On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire AAAI 2019
Attention Guided Imitation Learning and Reinforcement Learning AAAI 2019
Strategic Tasks for Explainable Reinforcement Learning AAAI 2019
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition ACML 2019
Orthogonal Estimation of Wasserstein Distances AISTATS 2019
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019
Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019
How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019
Interactive Language Learning by Question Answering EMNLP 2019
Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019
Distributional Reinforcement Learning for Efficient Exploration ICML 2019
ELF OpenGo: an analysis and open reimplementation of AlphaZero ICML 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions IJCAI 2019
A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019
An Evolution Strategy with Progressive Episode Lengths for Playing Games IJCAI 2019
DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019