More from the Same Authors

• 2022 : Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables »
  Mengdi Xu · Peide Huang · Visak Kumar · Jielin Qiu · Chao Fang · Kuan-Hui Lee · Xuewei Qi · Henry Lam · Bo Li · Ding Zhao
• 2022 : Paper 10: CausalAF: Causal Autoregressive Flow for Safety-Critical Scenes Generation »
  Wenhao Ding · Haohong Lin · Bo Li · Ding Zhao · Hitesh Arora
• 2022 : Paper 19 : Few-Shot Style Transfer for Deep Motion Forecasting »
  Yuejiang Liu · Alexandre Alahi · Hitesh Arora
• 2023 : DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles »
  Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li
• 2023 : Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation »
  Wenhao Ding · Laixi Shi · Yuejie Chi · Ding Zhao
• 2023 : Learning from Sparse Offline Datasets via Conservative Density Estimation »
  Zhepeng Cen · Zuxin Liu · Zitong Wang · Yihang Yao · Henry Lam · Ding Zhao
• 2023 : Offline Reinforcement Learning with Imbalanced Datasets »
  Li Jiang · Sijie Cheng · Jielin Qiu · Victor Chan · Ding Zhao
• 2023 : Semantically Adversarial Scene Generation with Explicit Knowledge Guidance for Autonomous Driving »
  Wenhao Ding · Haohong Lin · Bo Li · Ding Zhao
• 2023 : Learning Shared Safety Constraints from Multi-task Demonstrations »
  Konwoo Kim · Gokul Swamy · Zuxin Liu · Ding Zhao · Sanjiban Choudhury · Steven Wu
• 2023 : Visual-based Policy Learning with Latent Language Encoding »
  Jielin Qiu · Mengdi Xu · William Han · Bo Li · Ding Zhao
• 2023 : Can Brain Signals Reveal Inner Alignment with Human Languages? »
  Jielin Qiu · William Han · Jiacheng Zhu · Mengdi Xu · Douglas Weber · Bo Li · Ding Zhao
• 2023 : Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging »
  Jielin Qiu · Peide Huang · Makiya Nakashima · Jaehyun Lee · Jiacheng Zhu · Wilson Tang · Pohao Chen · Christopher Nguyen · Byung-Hak Kim · Debbie Kwon · Douglas Weber · Ding Zhao · David Chen
• 2023 : Robustness Verification for Perception Models against Camera Motion Perturbations »
  Hanjiang Hu · Changliu Liu · Ding Zhao
• 2023 : Learning Shared Safety Constraints from Multi-task Demonstrations »
  Konwoo Kim · Gokul Swamy · Zuxin Liu · Ding Zhao · Sanjiban Choudhury · Steven Wu
• 2023 Poster: Constrained Decision Transformer for Offline Safe Reinforcement Learning »
  Zuxin Liu · Zijian Guo · Yihang Yao · Zhepeng Cen · Wenhao Yu · Tingnan Zhang · Ding Zhao
• 2023 Poster: Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data »
  Zuxin Liu · Zijian Guo · Zhepeng Cen · Huan Zhang · Yihang Yao · Hanjiang Hu · Ding Zhao
• 2023 Poster: Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models »
  Wenhao Ding · Tong Che · Ding Zhao · Marco Pavone
• 2023 Poster: Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics »
  Jiacheng Zhu · Jielin Qiu · Aritra Guha · Zhuolin Yang · XuanLong Nguyen · Bo Li · Ding Zhao
• 2022 : Conclusion »
  Hitesh Arora
• 2022 : Paper 15: On the Robustness of Safe Reinforcement Learning under Observational Perturbations »
  Zuxin Liu · Zhepeng Cen · Huan Zhang · Jie Tan · Bo Li · Ding Zhao
• 2022 : Paper 16: Constrained Model-based Reinforcement Learning via Robust Planning »
  Zuxin Liu · Ding Zhao
• 2022 : Invited Speaker: Ivan Istomin »
  Hitesh Arora
• 2022 Workshop: 1st ICML 2022 Workshop on Safe Learning for Autonomous Driving (SL4AD) »
  Jonathan Francis · Bingqing Chen · Hitesh Arora · Xinshuo Weng · Siddha Ganju · Daniel Omeiza · Jean Oh · Erran Li · Sylvia Herbert · Eric Nyberg · Eric Nyberg
• 2022 : Opening Remarks »
  Hitesh Arora
• 2022 Poster: Constrained Variational Policy Optimization for Safe Reinforcement Learning »
  Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao
• 2022 Spotlight: Constrained Variational Policy Optimization for Safe Reinforcement Learning »
  Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao