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05/16/2023
An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) research on Google Researc...
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12/18/2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Robots are traditionally bounded by a fixed embodiment during their oper...
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12/15/2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Deep reinforcement learning has recently emerged as an appealing alterna...
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04/24/2022
M2N: Mesh Movement Networks for PDE Solvers
Mainstream numerical Partial Differential Equation (PDE) solvers require...
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03/13/2021
Online Double Oracle
Solving strategic games with huge action space is a critical yet under-e...
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06/06/2020
Learning to Model Opponent Learning
Multi-Agent Reinforcement Learning (MARL) considers settings in which a ...
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05/17/2019
A Regularized Opponent Model with Maximum Entropy Objective
In a single-agent setting, reinforcement learning (RL) tasks can be cast...
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10/10/2018
Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game
In situations where explicit communication is limited, a human collabora...
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05/23/2017
