Benjamin Eysenbach

収録論文 29本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
  2026/4/22
• Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
  2026/4/1
• Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
  2026/3/2
• Can We Really Learn One Representation to Optimize All Rewards?
  2026/2/1
• SLAP: Shortcut Learning for Abstract Planning
  2025/11/1
• Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
  2025/11/1
• 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
  2025/3/19
• GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
  2024/10/1
• Contrastive Example-Based Control
  2023/7/1
• HIQL: Offline Goal-Conditioned RL with Latent States as Actions
  2023/7/1
• Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
  2022/9/1
• Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
  2021/10/1
• Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
  2021/10/1
• Rapid Exploration for Open-World Navigation with Latent Goal Models
  2021/4/1
• Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
  2021/4/1
• Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
  2021/3/1
• Maximum Entropy RL (Provably) Solves Some Robust RL Problems
  2021/3/1
• ViNG: Learning Open-World Navigation with Visual Goals
  2020/12/1
• Model-Based Visual Planning with Self-Supervised Functional Distances
  2020/12/1
• f-IRL: Inverse Reinforcement Learning via State Marginal Matching
  2020/11/1
• Learning to be Safe: Deep RL with a Safety Critic
  2020/10/1
• Interactive Visualization for Debugging RL
  2020/8/1
• Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
  2020/6/1
• Weakly-Supervised Reinforcement Learning for Controllable Behavior
  2020/4/1
• Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
  2020/2/1
• Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
  2019/6/1
• Efficient Exploration via State Marginal Matching
  2019/6/1
• Diversity is All You Need: Learning Skills without a Reward Function
  2018/2/1
• Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
  2017/11/1