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03/12/2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Trajectory prediction has been a crucial task in building a reliable aut...
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09/02/2022
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training
Centralised training (CT) is the basis for many popular multi-agent rein...
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05/31/2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
Many real-world settings involve costs for performing actions; transacti...
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06/01/2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Extending transfer learning to cooperative multi-agent reinforcement lea...
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02/10/2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
In many real-world settings, a team of cooperative agents must learn to ...
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12/23/2019
A Survey of Deep Reinforcement Learning in Video Games
Deep reinforcement learning (DRL) has made great achievements since prop...
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04/03/2018