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Benjamin Eysenbach

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

33

Venues

4

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

33 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRAccelerating Goal-Conditioned Reinforcement Learning Algorithms and Research.Michal Bortkiewicz, Wladyslaw Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach
2025ICLRThe "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities.Yongwei Che, Benjamin Eysenbach
2025ICLRA Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals.Grace Liu, Michael Tang, Benjamin Eysenbach
2025ICLRHorizon Generalization in Reinforcement Learning.Vivek Myers, Catherine Ji, Benjamin Eysenbach
2025ICLROGBench: Benchmarking Offline Goal-Conditioned RL.Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine
2025ICLRCan a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning.Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach
2025ICRAGHIL-Glue: Hierarchical Control with Filtered Subgoal Images.Kyle Beltran Hatch, Ashwin Balakrishna, Oier Mees, Suraj Nair, Seohong Park, Blake Wulfe, Masha Itkina, Benjamin Eysenbach, Sergey Levine, Thomas Kollar, Benjamin Burchfiel
2024ICLRClosing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
2024ICLRGame-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
2024ICLRBridging State and History Representations: Understanding Self-Predictive RL.Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
2024ICLRStabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data.Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
2024ICLRContrastive Difference Predictive Coding.Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach
2024ICMLA Rate-Distortion View of Uncertainty Quantification.Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski
2024ICMLLearning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making.Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
2023CoRLContrastive Value Learning: Implicit Models for Simple Offline RL.Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2023ICLRSimplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective.Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov
2023ICLRBitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts.Amrith Setlur, Don Kurian Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
2023ICMLA Connection between One-Step RL and Critic Regularization in Reinforcement Learning.Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
2022ICLRRvS: What is Essential for Offline RL via Supervised Learning?Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
2022ICLRMaximum Entropy RL (Provably) Solves Some Robust RL Problems.Benjamin Eysenbach, Sergey Levine
2022ICLRThe Information Geometry of Unsupervised Reinforcement Learning.Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
2022ICLRC-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks.Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
2022ICMLRecurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs.Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
2021CoRLRapid Exploration for Open-World Navigation with Latent Goal Models.Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine
2021ICLROff-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov
2021ICLRC-Learning: Learning to Achieve Goals via Recursive Classification.Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
2021ICLRLearning to Reach Goals via Iterated Supervised Learning.Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine
2021ICLRModel-Based Visual Planning with Self-Supervised Functional Distances.Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine
2021ICMLActionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jacob Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine
2021ICRAViNG: Learning Open-World Navigation with Visual Goals.Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine
2019ICLRDiversity is All You Need: Learning Skills without a Reward Function.Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine
2018ICLRLeave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning.Benjamin Eysenbach, Shixiang Gu, Julian Ibarz, Sergey Levine
2018ICMLSelf-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.John D. Co-Reyes, Yuxuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine