Constrained Policy Optimization

30 May 2017

Pieter Abbeel

Papers citing "Constrained Policy Optimization"

50 / 303 papers shown

Title
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Albert Zhao Stefano Soatto DiffM 24 0 0 18 May 2025
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 34 0 0 13 May 2025
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars Eric Squires Phillip Odom Z. Kira 41 0 0 08 May 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety Jason J. Choi Jasmine Jerry Aloor Jingqi Li Maria G. Mendoza H. Balakrishnan Claire J. Tomlin 33 0 0 04 May 2025
Skill-based Safe Reinforcement Learning with Risk Planning Hanping Zhang Yuhong Guo OffRL OnRL 50 0 0 02 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 50 0 0 17 Apr 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 231 0 0 16 Apr 2025
I Can Hear You Coming: RF Sensing for Uncooperative Satellite Evasion Cameron Mehlman Gregory Falco 51 0 0 04 Apr 2025
An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning Julien Soulé Jean-Paul Jamont Michel Occello Louis-Marie Traonouez Paul Théron 45 0 0 30 Mar 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection Bo Leng Ran Yu Wei Han Lu Xiong Zhuoren Li Hailong Huang 46 0 0 25 Mar 2025
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions Manan Tayal Aditya Singh Pushpak Jagtap Shishir Kolathaya 45 1 0 18 Mar 2025
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic Kexuan Wang An Liu 49 0 0 13 Mar 2025
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning Shashank Gupta Chaitanya Ahuja Tsung-Yu Lin Sreya Dutta Roy Harrie Oosterhuis Maarten de Rijke Satya Narayan Shukla 59 1 0 02 Mar 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 88 1 0 24 Feb 2025
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies Zheli Xiong 49 0 0 23 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 109 14 0 05 Feb 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 58 0 0 30 Jan 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 105 2 0 28 Jan 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 47 16 0 28 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 94 0 0 31 Dec 2024
A learning-based approach to stochastic optimal control under reach-avoid constraint Tingting Ni Maryam Kamgarpour 85 0 0 21 Dec 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 31 1 0 05 Nov 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 183 1 0 08 Oct 2024
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 48 1 0 03 Oct 2024
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 74 1 0 29 Aug 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia Herbert 45 6 0 12 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 45 0 0 09 Jul 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation Detian Chu Linyuan Bai Jianuo Huang Zhenlong Fang Peng Zhang Wei Kang Haifeng Lin 45 2 0 08 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 45 0 0 08 Jul 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 69 0 0 06 Jul 2024
Towards shutdownable agents via stochastic choice Elliott Thornley Alexander Roman Christos Ziakas Leyton Ho Louis Thomson 46 0 0 30 Jun 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 53 1 0 28 Jun 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 44 1 0 21 Jun 2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving Jonathan Booher Khashayar Rohanimanesh Junhong Xu Vladislav Isenbaev Ashwin Balakrishna Ishan Gupta Wei Liu Aleksandr Petiushko OffRL 39 7 0 13 Jun 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 49 1 0 06 Jun 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim Taehyun Cho Seung Han Hojun Chung Kyungjae Lee Songhwai Oh 34 1 0 29 May 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 39 0 0 28 May 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Alois Knoll Ming Jin 42 1 0 26 May 2024
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence Minheng Xiao Xian Yu Lei Ying 42 2 0 23 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 45 3 0 20 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 22 6 0 07 May 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows Minjae Cho Jonathan P. How Chuangchuang Sun OODD OffRL 51 1 0 06 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 46 4 0 02 May 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 43 0 0 25 Apr 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah Cameron Voloshin Chenxi Yang Abhinav Verma Swarat Chaudhuri S. Seshia 29 1 0 17 Apr 2024
Structured Reinforcement Learning for Media Streaming at the Wireless Edge Archana Bura Sarat Chandra Bobbili Shreyas Rameshkumar Desik Rengarajan D. Kalathil S. Shakkottai 31 0 0 10 Apr 2024
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models Dimitris Papadimitriou Daniel S. Brown 53 1 0 04 Mar 2024