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• Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
  2018 · 34 citations
• Learning to Reach Goals via Iterated Supervised Learning
  2019 · 29 citations
• Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
  2021 · 26 citations
• Divide-and-Conquer Reinforcement Learning
  2017 · 13 citations
• Representations for Stable Off-Policy Reinforcement Learning
  2020 · 8 citations
• Learning Actionable Representations with Goal-Conditioned Policies
  2018 · 7 citations
• Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
  2020 · 7 citations
• An operator view of policy gradient methods
  2020 · 5 citations
• Offline RL Policies Should be Trained to be Adaptive
  2022 · 4 citations
• On Catastrophic Interference in Atari 2600 Games
  2020 · 3 citations
• Distributionally Adaptive Meta Reinforcement Learning
  2022 · 2 citations
• HIQL: Offline Goal-Conditioned RL with Latent States as Actions
  2023 · 2 citations
• Reinforcement Learning from Passive Data via Latent Intentions
  2023 · 1 citations
• Visual Pre-Training on Unlabeled Images using Reinforcement Learning
  2025
• ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse Data
  2025