Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 1,109 papers shown

Title
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 65 4 0 10 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
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 2 0 10 Dec 2024
Reinforcement Learning Enhanced LLMs: A Survey Shuhe Wang Shengyu Zhang Jun Zhang Runyi Hu Xiaoya Li Tianwei Zhang Jiwei Li Fei Wu G. Wang Eduard H. Hovy OffRL 134 7 0 05 Dec 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 57 1 0 11 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 22 2 0 08 Nov 2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 57 3 0 07 Nov 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 82 5 0 23 Oct 2024
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space Rajesh Mangannavar Gopalakrishnan Srinivasaraghavan 25 2 0 15 Oct 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 199 3 0 12 Oct 2024
Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation Marina Sheshukova Denis Belomestny Alain Durmus Eric Moulines Alexey Naumov S. Samsonov 35 1 0 07 Oct 2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Zhaolin Gao Wenhao Zhan Jonathan D. Chang Gokul Swamy Kianté Brantley Jason D. Lee Wen Sun OffRL 61 3 0 06 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 40 1 0 03 Oct 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai Haoran Sun Huang Fang Shuohuan Wang Yu Sun Hua Wu 174 1 0 03 Oct 2024
Revisiting inverse Hessian vector products for calculating influence functions Yegor Klochkov Yang Liu TDI LLMSV 34 1 0 25 Sep 2024
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration A. Farid Jafar Roshanian Malek Mouhoub 26 1 0 17 Sep 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov Danda Pani Paudel Luc Van Gool 34 0 0 12 Sep 2024
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE Junjie Zhao Chengxi Zhang Min Qin Peng Yang OOD 31 3 0 08 Sep 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 29 0 0 02 Sep 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Zihao Sheng Zilin Huang Sikai Chen 39 8 0 30 Aug 2024
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models Pritthijit Nath Henry Moss Emily Shuckburgh Mark Webb AI4Cl AI4CE 37 0 0 28 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 92 3 0 20 Aug 2024
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 42 3 0 29 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 30 0 0 23 Jul 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification Thomas Kwa Drake Thomas Adrià Garriga-Alonso 32 1 0 19 Jul 2024
A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers D. Huergo Laura Alonso S. Joshi Adrian Juanicoteca Gonzalo Rubio Esteban Ferrer AI4CE 28 4 0 18 Jul 2024
Optimistic Q-learning for average reward and episodic reinforcement learning Priyank Agrawal Shipra Agrawal 56 3 0 18 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 40 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
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization D. Tiapkin Evgenii Chzhen Gilles Stoltz 74 0 0 08 Jul 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 39 1 0 05 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 15 0 05 Jul 2024
Towards shutdownable agents via stochastic choice Elliott Thornley Alexander Roman Christos Ziakas Leyton Ho Louis Thomson 40 0 0 30 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 62 14 0 24 Jun 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 28 0 0 20 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 33 0 0 11 Jun 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 44 0 0 11 Jun 2024
An Improved Empirical Fisher Approximation for Natural Gradient Descent Xiaodong Wu Wenyi Yu Chao Zhang Philip Woodland 29 3 0 10 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 47 1 0 06 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang Ruoxue Liu Jing Zhang Wenjia Wang Bing-Yi Jing OffRL 56 2 0 31 May 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 46 2 0 30 May 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
Counterfactual Explanations for Multivariate Time-Series without Training Datasets Xiangyu Sun Raquel Aoki Kevin H. Wilson 27 1 0 28 May 2024
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 43 0 0 27 May 2024
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 35 0 0 26 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