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CoRL 2020, Spotlight Talk 278: MELD: Meta-Reinforcement Learning from Images via Latent State Models
CoRL 2020, Spotlight Talk 84: Attention-Privileged Reinforcement Learning
CoRL 2020, Spotlight Talk 358: A Long Horizon Planning Framework for Manipulating Rigid Pointclou...
CoRL 2020, Spotlight Talk 350: DIRL: Domain-Invariant Representation Learning for Sim-to-Real Tra...
CoRL 2020, Spotlight Talk 47: GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Gra...
Learning Exploration Strategies with Meta-Reinforcement Learning
[NeurIPS2022] On the Effectiveness of Fine tuning Versus Meta reinforcement Learning
Kate Rakelly Sheffield ML Seminar
Solving the Geduld-Spiele Cube with Meta-Reinforcement Learning
Offline Meta-Reinforcement Learning with Advantage Weighting (ICML 2021)
Stanford CS330: Deep Multi-task and Meta Learning | 2020 | Lecture 13: A Graphical Model Perspective
Decoupling Exploration and Exploitation in Meta-Reinforcement Learning without Sacrifices, ICML 2021
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