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05/09/2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
There is a lack of standard benchmarks for Multi-Agent Reinforcement Lea...
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02/23/2023
Revisiting the Gumbel-Softmax in MADDPG
MADDPG is an algorithm in multi-agent reinforcement learning (MARL) that...
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10/26/2022
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
Reasoning with occluded traffic agents is a significant open challenge f...
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09/28/2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Equilibrium selection in multi-agent games refers to the problem of sele...
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08/02/2022
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agent...
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07/05/2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Successful deployment of multi-agent reinforcement learning often requir...
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07/19/2021
Decoupling Exploration and Exploitation in Reinforcement Learning
Intrinsic rewards are commonly applied to improve exploration in reinfor...
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02/15/2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Sharing parameters in multi-agent deep reinforcement learning has played...
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06/18/2020
Open Ad Hoc Teamwork using Graph-based Policy Learning
Ad hoc teamwork is the challenging problem of designing an autonomous ag...
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06/16/2020
Local Information Opponent Modelling Using Variational Autoencoders
Modelling the behaviours of other agents (opponents) is essential for un...
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06/14/2020
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms
Multi-agent deep reinforcement learning (MARL) suffers from a lack of co...
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06/12/2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Exploration in multi-agent reinforcement learning is a challenging probl...
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06/11/2019