SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments by Hu, Hanjiang, Yang, Baoquan, Qiao, Zhijian, Liu, Shiqi, Zhu, Jiacheng, Liu, Zuxin, Ding, Wenhao, Zhao, Ding, Wang, Hesheng

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Constrained Variational Policy Optimization for Safe Reinforcement Learning by Liu, Zuxin, Cen, Zhepeng, Isenbaev, Vladislav, Liu, Wei, Wu, Zhiwei Steven, Li, Bo, Zhao, Ding

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Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments by Chen, Baiming, Xu, Mengdi, Liu, Zuxin, Li, Liang, Zhao, Ding

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SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles by Xu, Chejian, Ding, Wenhao, Lyu, Weijie, Liu, Zuxin, Wang, Shuai, He, Yihan, Hu, Hanjiang, Zhao, Ding, Li, Bo

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Datasets and Benchmarks for Offline Safe Reinforcement Learning by Liu, Zuxin, Guo, Zijian, Lin, Haohong, Yao, Yihang, Zhu, Jiacheng, Cen, Zhepeng, Hu, Hanjiang, Yu, Wenhao, Zhang, Tingnan, Tan, Jie, Zhao, Ding

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Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method by Liu, Zuxin, Zhou, Hongyi, Chen, Baiming, Zhong, Sicheng, Hebert, Martial, Zhao, Ding

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Context-Aware Safe Reinforcement Learning for Non-Stationary Environments by Chen, Baiming, Liu, Zuxin, Zhu, Jiacheng, Xu, Mengdi, Ding, Wenhao, Zhao, Ding

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Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes by Xu, Mengdi, Ding, Wenhao, Zhu, Jiacheng, Liu, Zuxin, Chen, Baiming, Zhao, Ding

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MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments by Liu, Zuxin, Chen, Baiming, Zhou, Hongyi, Guru Koushik, Hebert, Martial, Zhao, Ding

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