news | Benjamin Eysenbach

Aug 13, 2024	Skills and directed exploration seem to emerge from contrastive RL! Check out the website for videos, code, and the full paper! Let by Grace Liu with Michael Tang.
Aug 9, 2024	In attempts to change perceptions about who does RL, we’ve put together a poster of Notable Women in RL!
Jul 1, 2024	Excited to share work that will be presented at ICML 2024! A Rate-Distortion View of Uncertainty Quantification. Work led by Ifigeneia Apostolopoulou. Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. Work led by Vivek Myers. [Code] Learning to Assist Humans without Inferring Rewards. Work led by Vivek Myers and Evan Ellis. At the ICML 2024 Workshop on Models of Human Feedback for AI Alignment.
May 1, 2024	Fall 2024 I’ll be teaching an independent work seminar on unsupervised RL (COS 397-S06 for juniors, COS 497-S06 for seniors). If interested, please join the waitlist.
Apr 1, 2024	Excited to share work that will be presented at ICLR 2024! Contrastive Difference Predictive Coding. Work led by Chongyi Zheng. Website with videos and code. Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. Work led by Chongyi Zheng. Website with videos and code. (Spotlight! <5%) Bridging State and History Representations: Understanding Self-Predictive RL. Work led by Tianwei Ni. Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. Work led by Raj Ghugare. Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. Work led by Yongyuan Liang.
Mar 11, 2024	New paper on planning by interpolation! With Vivek Myers.
Jan 1, 2024	Spring 2024 I’ll be teaching the new undergraduate Introduction to RL (COS 435 / ECE 433), together with Mengdi Wang!