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06/07/2023
Generalization Across Observation Shifts in Reinforcement Learning
Learning policies which are robust to changes in the environment are cri...
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03/24/2023
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization
Recent advances in Reinforcement Learning (RL) have led to many exciting...
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02/15/2023
Trust-Region-Free Policy Optimization for Stochastic Policies
Trust Region Policy Optimization (TRPO) is an iterative method that simu...
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12/14/2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
The availability of challenging benchmarks has played a key role in the ...
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12/10/2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
A reliable critic is central to on-policy actor-critic learning. But it ...
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10/27/2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
We present an extended abstract for the previously published work TESSER...
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10/27/2021
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
A challenge in multi-agent reinforcement learning is to be able to gener...
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07/27/2021
Open-Ended Learning Leads to Generally Capable Agents
In this work we create agents that can perform well beyond a single, ind...
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06/06/2021
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching
We present SoftDICE, which achieves state-of-the-art performance for imi...
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05/31/2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Reinforcement Learning in large action spaces is a challenging problem. ...
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10/06/2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
This paper focuses on cooperative value-based multi-agent reinforcement ...
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10/16/2019
MAVEN: Multi-Agent Variational Exploration
Centralised training with decentralised execution is an important settin...
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11/03/2018
VIREL: A Variational Inference Framework for Reinforcement Learning
Applying probabilistic models to reinforcement learning (RL) has become ...
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06/09/2017
