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Benjamin Eysenbach

  1. Diversity is All You Need: Learning Skills without a Reward Function
    2018/02/16 by Benjamin Eysenbach, Eysenbach, Benjamin, Abhishek Gupta +5 · 65 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Single-cell and spatial transcriptomics #Evolutionary Algorithms and Applications
  2. Contrastive Learning as Goal-Conditioned Reinforcement Learning
    2022/06/15 by Benjamin Eysenbach, Eysenbach, Benjamin, Tianjun Zhang +5 · 1 voice · 35 citations
    Computer Science · #cs.LG #cs.AI
  3. Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
    2017/11/18 by Benjamin Eysenbach, Shixiang Gu, Eysenbach, Benjamin +5 · 1 voice · 8 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Robot Manipulation and Learning #cs.LG #cs.RO
  4. Rapid Exploration for Open-World Navigation with Latent Goal Models
    2021/04/12 by Dhruv Shah, Shah, Dhruv, Benjamin Eysenbach +6 · 26 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
  5. Maximum Entropy RL (Provably) Solves Some Robust RL Problems
    2021/03/10 by Benjamin Eysenbach, Eysenbach, Benjamin, Sergey Levine +1 · 20 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning
  6. OGBench: Benchmarking Offline Goal-Conditioned RL
    2024/10/26 by Seohong Park, Park, Seohong, Kevin Frans +5 · 39 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques
  7. Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
    2019/06/12 by Benjamin Eysenbach, Ruslan Salakhutdinov, Eysenbach, Benjamin +3 · 14 citations
    Computer Science · #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Multimodal Machine Learning Applications
  8. HIQL: Offline Goal-Conditioned RL with Latent States as Actions
    2023/07/22 by Seohong Park, Dibya Ghosh, Park, Seohong +5 · 16 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Robotics (cs.RO)
  9. C-Learning: Learning to Achieve Goals via Recursive Classification
    2020/11/17 by Benjamin Eysenbach, Eysenbach, Benjamin, Ruslan Salakhutdinov +3 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  10. RvS: What is Essential for Offline RL via Supervised Learning?
    2021/12/20 by Scott Emmons, Benjamin Eysenbach, Emmons, Scott +5 · 10 citations
    Computer Science · #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  11. Learning to be Safe: Deep RL with a Safety Critic
    2020/10/27 by Krishnan Srinivasan, Benjamin Eysenbach, Srinivasan, Krishnan +7 · 9 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  12. Actionable Models: Unsupervised Offline Reinforcement Learning of\n Robotic Skills
    2021/04/15 by Yevgen Chebotar, Chebotar, Yevgen, Karol Hausman +20 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
  13. Efficient Exploration via State Marginal Matching
    2019/06/12 by Lisa Lee, Benjamin Eysenbach, Lee, Lisa +9 · 10 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robotics (cs.RO)
  14. When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
    2023/07/07 by Tianwei Ni, Michel Ma, Ni, Tianwei +5 · 8 citations
    Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Software Engineering Research
  15. Bridging State and History Representations: Understanding Self-Predictive RL
    2024/01/17 by Tianwei Ni, Benjamin Eysenbach, Ni, Tianwei +11 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  16. f-IRL: Inverse Reinforcement Learning via State Marginal Matching
    2020/11/09 by Tianwei Ni, Ni, Tianwei, Harshit Sikchi +9 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  17. Contrastive Difference Predictive Coding
    2023/10/31 by Chongyi Zheng, Ruslan Salakhutdinov, Zheng, Chongyi +3 · 7 citations
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health Research Topics #Reinforcement Learning in Robotics
  18. Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
    2018/06/07 by John D. Co-Reyes, Co-Reyes, John D., YuXuan Liu +9 · 3 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  19. Model-Based Visual Planning with Self-Supervised Functional Distances
    2020/12/30 by Stephen Tian, Suraj Nair, Tian, Stephen +11 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #Video Analysis and Summarization
  20. Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
    2023/06/06 by Chongyi Zheng, Benjamin Eysenbach, Zheng, Chongyi +11 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  21. The Information Geometry of Unsupervised Reinforcement Learning
    2021/10/06 by Benjamin Eysenbach, Eysenbach, Benjamin, Ruslan Salakhutdinov +3 · 3 citations
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
  22. Accelerating Goal-Conditioned RL Algorithms and Research
    2024/08/20 by Michał Bortkiewicz, Bortkiewicz, Michał, Pałucki, Władysław +10 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Machine Learning (cs.LG)
  23. Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
    2022/09/18 by Raj Ghugare, Ghugare, Raj, Homanga Bharadhwaj +7 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Robotics (cs.RO)
  24. Horizon Generalization in Reinforcement Learning
    2025/01/06 by Vivek Myers, Catherine Ji, Benjamin Eysenbach · 1 voice · 5 citations
    #cs.LG #cs.AI
  25. Robust Predictable Control
    2021/09/07 by Benjamin Eysenbach, Eysenbach, Benjamin, Ruslan Salakhutdinov +3 · 2 citations
    Engineering · #Advanced Control Systems Optimization #Fault Detection and Control Systems #Control Systems and Identification
  26. Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
    2024/01/20 by Raj Ghugare, Matthieu Geist, Ghugare, Raj +5 · 4 citations
    Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #Machine Learning and Data Classification
  27. Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
    2024/03/06 by Benjamin Eysenbach, Eysenbach, Benjamin, Vivek Myers +5 · 4 citations
    Computer Science · #AI-based Problem Solving and Planning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
  28. GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
    2024/10/26 by Kyle Hatch, Ashwin Balakrishna, Hatch, Kyle B. +19 · 4 citations
    Computer Science · #Advanced Vision and Imaging
  29. A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
    2024/08/11 by Grace Liu, Michael Tang, Liu, Grace +3 · 4 citations
    Computer Science · Psychology · #Teaching and Learning Programming #Intelligent Tutoring Systems and Adaptive Learning #Innovative Teaching and Learning Methods
  30. Learning to Assist Humans without Inferring Rewards
    2024/11/04 by Evan Ellis, Myers, Vivek, Sergey Levine +6 · 5 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Problem and Project Based Learning
  31. Horizon Reduction Makes RL Scalable
    2025/06/04 by Seohong Park, Park, Seohong, Kevin Frans +8 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
  32. Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
    2024/12/11 by Chongyi Zheng, Zheng, Chongyi, Jens Tuyls +4 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Open Education and E-Learning
  33. Unsupervised Curricula for Visual Meta-Reinforcement Learning
    2019/12/09 by Allan Jabri, Kyle Hsu, Jabri, Allan +9 · 1 citation
    Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  34. Interactive Visualization for Debugging RL
    2020/08/14 by Shuby Deshpande, Deshpande, Shuby, Benjamin Eysenbach +3 · 1 citation
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance
  35. Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
    2022/06/03 by Amrith Setlur, Setlur, Amrith, Benjamin Eysenbach +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  36. A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning
    2023/07/24 by Benjamin Eysenbach, Matthieu Geist, Eysenbach, Benjamin +5 · 1 citation
    Computer Science · Engineering · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
  37. Normalizing Flows are Capable Models for Continuous Control
    2025/05/29 by Raj Ghugare, Benjamin Eysenbach, Ghugare, Raj +1 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Games
  38. Contrastive Representations for Temporal Reasoning
    2025/08/18 by Alicja Ziarko, Michał Bortkiewicz, Ziarko, Alicja +7 · 2 citations
    Computer Science · #Semantic Web and Ontologies #Multi-Agent Systems and Negotiation #Logic, Reasoning, and Knowledge
  39. LeAct: Learning to Reason from Expert Actions
    2026/07/23 by Ziran Yang, Chengshuai Shi, Raj Ghugare +3
    #cs.LG #cs.AI #cs.CL