Ben Eysenbach

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 9

Top Topics

Semi Supervised Clustering Algorithm

Reinforcement Learning

Unsupervised Clustering

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Ben Eysenbach, Sergey Levine, Ruslan Salakhutdinov
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification. NeurIPS (2021)
Ben Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Robust Predictable Control. NeurIPS (2021)
Lisa Lee, Ben Eysenbach, Russ R. Salakhutdinov, Shixiang Shane Gu, Chelsea Finn
Weakly-Supervised Reinforcement Learning for Controllable Behavior. NeurIPS (2020)
Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRL (2020)
Ben Eysenbach, Xinyang Geng, Sergey Levine, Russ R. Salakhutdinov
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement. NeurIPS (2020)
Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn
Unsupervised Curricula for Visual Meta-Reinforcement Learning. NeurIPS (2019)
Allan Jabri, Kyle Hsu, Ben Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn
Unsupervised Curricula for Visual Meta-Reinforcement Learning. CoRR (2019)
Ben Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning. NeurIPS (2019)
Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer
Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)