news

Jan 17, 2024 2 papers accepted to ICLR 2024 and one of them is spotlight. Thank my supervisor and collaborators for their help!
Nov 2, 2023 I officially move to Ruhr-University Bochum with my supervisor.
Sep 22, 2023 One paper paper promoting exploration in deep reinforcement learning for continuous control tasks is accepted to NeurIPS’23.
Sep 19, 2023 I attent the ECML’23 on September 18th to 22nd.
Jul 21, 2023 Give a talk about Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning at RLChina (Chinese). Click this link for video.
Jun 7, 2023 Our paper Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning is accepted to ECML 2023 (acceptance rate: 24%)! See you in Torino!
Feb 28, 2023 Our paper Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning is accepted to CVPR 2023! See you in Vancouver!
Jan 5, 2023 One paper about how to utilize estimation bias to explore environments is accepted by AAMAS 2023. Congratulations to Chao Li!
Sep 16, 2022 I start my PhD journey in Tuebingen :P
Jun 21, 2022 Two papers are accepted in Decision Awareness in Reinforcement Learning workshop at ICML 2022.
Jun 6, 2022 I broke my ankle bone and calcaneus bone, I have to rest for more than two months :P
Feb 6, 2022 One paper to appear in ICASSP’22 (Oral).
Sep 6, 2021 Serve as a reviewer for NeurIPS 2021 Workshop on Offline Reinforcement Learning.
Mar 6, 2021 One paper is accepted to ICME’21 (oral). See you in Shenzhen!
Oct 6, 2020 One paper to appear in NeurIPS’20 offline RL workshop.
Sep 6, 2020 One paper to appear in ICTAI’20 (Oral).