Great work from my PhD students Denis Yarats and Ilya Kostrikov !

Excited to share our new paper “Automatic Data Augmentation for Generalization in Deep Reinforcement Learning” w/ Max Goldstein, Denis Yarats, Ilya Kostrikov, and Rob Fergus! Paper: arxiv.org/pdf/2006.12862… Code: github.com/rraileanu/auto… Website: sites.google.com/view/ucb-drac

Excited to share an update to our work on evolutionary-scale modeling (ESM)! Over the past year, we rewrote our paper with better pretraining and downstream models, leading to state-of-the-art results across multiple benchmarks. (1/8) biorxiv.org/content/10.110…

Happy to share my new work -- Proto-RL, a task-agnostic pre-training scheme that reconciles exploration and representation learning in image-based RL! with: Rob Fergus, Alessandro Lazaric, and Lerrel Pinto. paper: arxiv.org/pdf/2102.11271… code: github.com/denisyarats/pr… [1/N]

Yann LeCun Yann LeCun Aravind Srinivas recent Proto-RL (arxiv.org/pdf/2102.11271…) that uses ideas from both CURL and DrQ gets us closer to the LeCake, as it's contrastively learned representations are **fully detached** from RL, besides they can be learned with just the MaxEnt objective.