How it started: ICLR'20 reviewer for offline-rl.github.io said "Why are offline RL algorithms necessary? I am not sure this paper is relevant to the community of standard RL." How's it going: 60+ exciting submissions at the 1st offline RL workshop NeurIPS Conference! 🔥

[1/3] We have updated offline-rl-neurips.github.io with paper and youtube links for the 53 accepted papers at the first ever offline RL workshop NeurIPS Conference this year!

2nd Offline RL workshop @ NeurIPS 2021!! This time the focus is on bridging the gap between offline RL research and practice. Call for papers and other details at offline-rl-neurips.github.io/2021.

Speakers: Sham Kakade, Angela Schoellig (hiring PhDs/postdocs/engineers), Aviv Tamar, Barbara Engelhardt, Minmin Chen Google AI and Philip Thomas UMass Amherst More info at: offline-rl-neurips.github.io/2021/speakers.…

Final call for submissions for the offline RL workshops.

@InfAtEd Edinburgh Robotics Offline RL Workshop OFFLINE RL NeurIPS Workshop: Robust On-Policy Data Collection for Data-Efficient Policy Evaluation Rujie Zhong Josiah Hanna Lukas Schäfer arXiv: arxiv.org/abs/2111.14552 On Dec 12 offline-rl-neurips.github.io

#NeurIPS2021 Checkout the accepted papers (including 4 oral presentations) and pre-recorded videos at offline-rl-neurips.github.io/2021/papers.ht….

I am pleased to share that our work "PulseRL: Enabling Offline Reinforcement Learning for Digital Marketing Systems via Conservative Q-Learning" will be an *oral* presentation in the 2nd Offline RL Workshop at NeurIPS 2021. Talk/QnA: Tue, Dec 14th, 10:30 PM (PST) [1/n]

Very much looking forward to this exciting NeurIPS Conference workshop! I will talk about our recent work in offline meta RL: (1) How should we collect data? (2) A practical deep RL algo (3) PAC theory of generalization

In an OFFLINE RL NeurIPS Workshop workshop at NeurIPS Conference, Takuma Seno, Machine Learning Engineer at Sony AI, will introduce d3rlpy: an #opensource offline deep reinforcement learning library for #Python. Watch the presentation here: ow.ly/u8iA50Ha20u #DeepRL #NeurIPS2021