Aidan Scannell
Aidan Scannell
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offline-rl
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Offline meta-reinforcement learning aims to equip agents with the ability to rapidly adapt to new tasks by training on data from a set …
Mohammadreza Nakhaei
,
Aidan Scannell
,
Joni Pajarinen
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Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Offline reinforcement learning (RL) allows learning sequential behavior from fixed datasets. Since offline datasets do not cover all …
Mohammadreza Nakhaei
,
Aidan Scannell
,
Joni Pajarinen
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