← authors · overview

• 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
  2025 · 24 citations
• Model-Based Visual Planning with Self-Supervised Functional Distances
  2020 · 17 citations
• Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
  2025 · 8 citations
• f-IRL: Inverse Reinforcement Learning via State Marginal Matching
  2020 · 4 citations
• C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
  2021 · 4 citations
• Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
  2025 · 3 citations
• Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL
  2025 · 2 citations
• Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
  2021 · 1 citations
• Temporal Representations For Exploration: Learning Complex Exploratory Behavior Without Extrinsic Rewards
  2026
• SLAP: Shortcut Learning for Abstract Planning
  2025
• SLAP: Shortcut Learning for Abstract Planning
  2025
• Multistep Quasimetric Learning For Scalable Goal-conditioned Reinforcement Learning
  2025
• Is Temporal Difference Learning the Gold Standard for Stitching in RL?
  2025
• Low-N Protein Activity Optimization with FolDE
  2025
• Learning To Be Safe: Deep RL With A Safety Critic
  2020