Timezone: »
Paper 2: SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Ding Zhao · Hitesh Arora · Jiacheng Zhu · Zuxin Liu · Wenhao Ding
Author Information
Ding Zhao (Carnegie Mellon University)
Hitesh Arora (Amazon)
Jiacheng Zhu (Carnegie Mellon University)
Zuxin Liu (Carnegie Mellon University)
Wenhao Ding (Carnegie Mellon University)
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 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: Constrained Decision Transformer for Offline Safe Reinforcement Learning »
Zuxin Liu · Zijian Guo · Yihang Yao · Zhepeng Cen · Wenhao Yu · Tingnan Zhang · 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 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