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FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement
  Learning

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

4 June 2024
Wenzhe Li
Zihan Ding
Seth Karten
Chi Jin
ArXivPDFHTML

Papers citing "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"

5 / 5 papers shown
Title
PokéChamp: an Expert-level Minimax Language Agent
Seth Karten
Andy Luu Nguyen
Chi Jin
AI4MH
LLMAG
ELM
69
2
0
06 Mar 2025
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 2022
The Neural MMO Platform for Massively Multiagent Research
The Neural MMO Platform for Massively Multiagent Research
Joseph Suárez
Yilun Du
Clare Zhu
Igor Mordatch
Phillip Isola
AI4CE
39
24
0
14 Oct 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
62
158
0
11 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
131
192
0
19 Oct 2020
1