Constrained Policy Optimization via Bayesian World Models

24 January 2022

Papers citing "Constrained Policy Optimization via Bayesian World Models"

42 / 42 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation Zhongquan Zhou Shuhao Li Zixian Yue 28 0 0 10 May 2025
Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge Songyuan Li Jia Hu Geyong Min Haojun Huang FedML 167 0 0 06 Mar 2025
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai Yaodong Yang Qian Zheng Gang Pan OffRL 84 2 0 15 Dec 2024
Repairing Neural Networks for Safety in Robotic Systems using Predictive Models K. Majd Geoffrey Clark Georgios Fainekos H. B. Amor 29 0 0 07 Nov 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 25 1 0 12 Oct 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 58 0 0 06 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 47 1 0 06 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 17 6 0 07 May 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function Baohe Zhang Yuan Zhang Lilli Frison Thomas Brox Joschka Bödecker 37 8 0 21 Mar 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning Akifumi Wachi Xun Shen Yanan Sui 33 10 0 03 Feb 2024
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall Francesco Belardinelli OffRL 27 1 0 01 Feb 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 71 6 0 23 Dec 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 26 5 0 13 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 43 10 0 03 Nov 2023
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji Borong Zhang Jiayi Zhou Xuehai Pan Weidong Huang Ruiyang Sun Yiran Geng Yifan Zhong Juntao Dai Yaodong Yang OffRL 34 63 0 19 Oct 2023
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization Fan Yang Wen-Min Zhou Zuxin Liu Ding Zhao David Held 17 1 0 10 Oct 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 28 12 0 05 Oct 2023
Approximate Model-Based Shielding for Safe Reinforcement Learning Alexander W. Goodall Francesco Belardinelli 13 0 0 27 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 30 19 0 14 Jul 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 21 17 0 21 Jun 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 24 36 0 15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 34 11 0 01 Jun 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement Yu Ao H. Esfandiari F. Carrillo Yarden As Mazda Farshad Benjamin Grewe Andreas Krause Philipp Fuernstahl 36 1 0 09 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 24 2 0 21 Apr 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 31 12 0 10 Mar 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 33 5 0 30 Jan 2023
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate Dongjie Yu Wenjun Zou Yujie Yang Haitong Ma Sheng Li Jingliang Duan Jianyu Chen 26 14 0 14 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 16 10 0 02 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang S. Zhan Ruochen Jiao Zhilu Wang Wanxin Jin Zhuoran Yang Zhaoran Wang Chao Huang Qi Zhu 24 48 0 29 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning Ilnura N. Usmanova Yarden As Maryam Kamgarpour Andreas Krause OffRL 19 9 0 21 Jul 2022
Effects of Safety State Augmentation on Safe Exploration Aivar Sootla Alexander I. Cowen-Rivers Jun Wang H. Ammar OffRL 30 0 0 06 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning Zuxin Liu Zhepeng Cen Vladislav Isenbaev Wei Liu Zhiwei Steven Wu Bo-wen Li Ding Zhao 16 76 0 28 Jan 2022
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 26 7 0 27 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012