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17 Results
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Poster
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Provably Safe Reinforcement Learning with Step-wise Violation Constraints Nuoya Xiong · Yihan Du · Longbo Huang |
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Poster
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Thu 8:45 |
Iterative Reachability Estimation for Safe Reinforcement Learning Milan Ganai · Zheng Gong · Chenning Yu · Sylvia Herbert · Sicun Gao |
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Poster
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Wed 15:00 |
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms Akifumi Wachi · Wataru Hashimoto · Xun Shen · Kazumune Hashimoto |
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Poster
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Wed 15:00 |
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents Woojun Kim · Yongjae Shin · Jongeui Park · Youngchul Sung |
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Workshop
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Stochastic Safe Action Model Learning Zihao Deng · Brendan Juba |
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Poster
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Thu 15:00 |
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji · Borong Zhang · Jiayi Zhou · Xuehai Pan · Weidong Huang · Ruiyang Sun · Yiran Geng · Yifan Zhong · Josef Dai · Yaodong Yang |
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Poster
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Thu 8:45 |
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning Jiayi Guan · Guang Chen · Jiaming Ji · Long Yang · ao zhou · Zhijun Li · changjun jiang |
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Poster
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Wed 8:45 |
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yihang Yao · ZUXIN LIU · Zhepeng Cen · Jiacheng Zhu · Wenhao Yu · Tingnan Zhang · DING ZHAO |
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Workshop
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Learning Safe Action Models with Partial Observability Brendan Juba · Hai Le · Ron T Stern |
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Poster
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Thu 8:45 |
Finding Safe Zones of Markov Decision Processes Policies Lee Cohen · Yishay Mansour · Michal Moshkovitz |
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Workshop
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PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu · zhuo zhi · Ilija Bogunovic · Carsten Gerner-Beuerle · Miguel Rodrigues |
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Poster
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Thu 8:45 |
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim · Kyungjae Lee · Songhwai Oh |