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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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02/14/2022
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Satisfying safety constraints almost surely (or with probability one) ca...
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02/14/2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
We consider a context-dependent Reinforcement Learning (RL) setting, whi...
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03/16/2021
Learning to Shape Rewards using a Game of Switching Controls
Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
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06/08/2020
