news

Oct 11, 2023 Our paper on “Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies” has been accepted at TMLR 2023! 📣
Sep 28, 2023 Our work on “Prioritizing Samples in Reinforcement Learning with Reducible Loss” has been accepted at NeurIPS 2023! 📣
Jun 12, 2023 Started as a research intern at Microsoft Research NYC with John Langford.
Sep 14, 2022 Two papers accepted to NeurIPS 2022 workshops! Come visit us at the Deep RL and Offline RL workshops. ✈
Sep 14, 2022 Our work on “Learning Robust Dynamics through Variational Sparse Gating” has been accepted at NeurIPS 2022! 📣