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A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games

18 July 2022
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
ArXivPDFHTML

Papers citing "A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games"

3 / 3 papers shown
Title
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement
  Learning
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li
Zihan Ding
Seth Karten
Chi Jin
32
1
0
04 Jun 2024
Zero-Sum Positional Differential Games as a Framework for Robust
  Reinforcement Learning: Deep Q-Learning Approach
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
Anton Plaksin
Vitaly Kalev
16
0
0
03 May 2024
No-Press Diplomacy from Scratch
No-Press Diplomacy from Scratch
A. Bakhtin
David J. Wu
Adam Lerer
Noam Brown
98
42
0
06 Oct 2021
1