Multi-task Batch Reinforcement Learning with Metric Learning

no code implementations • NeurIPS 2020 • Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Keith Ross, Henrik Iskov Christensen, Hao Su

To perform well, the policy must infer the task identity from collected transitions by modelling its dependency on states, actions and rewards.

Meta Reinforcement Learning Metric Learning +2

Pre-training as Batch Meta Reinforcement Learning with tiMe

no code implementations • 25 Sep 2019 • Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen

Combining ideas from Batch RL and Meta RL, we propose tiMe, which learns distillation of multiple value functions and MDP embeddings from only existing data.

Meta Reinforcement Learning reinforcement-learning +1