Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 1,112 papers shown

Title
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization Sadegh Khorasani Saber Salehkaleybar Negar Kiyavash Niao He Matthias Grossglauser 29 1 0 15 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 44 7 0 08 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 35 1 0 30 Oct 2023
Robot Control based on Motor Primitives -- A Comparison of Two Approaches Moses C. Nah Johannes Lachner Neville Hogan 21 3 0 28 Oct 2023
End-to-end Offline Reinforcement Learning for Glycemia Control Tristan Beolet Alice Adenis E. Huneker Maxime Louis OffRL 38 1 0 16 Oct 2023
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond Hao Sun OffRL 34 21 0 09 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 32 5 0 09 Oct 2023
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks Andrew Starnes Anton Dereventsov Clayton Webster 24 0 0 09 Oct 2023
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse T. Sandholm Ruslan Salakhutdinov Anca D. Dragan Stephen Marcus McAleer 39 48 0 06 Oct 2023
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment Tianhao Wu Banghua Zhu Ruoyu Zhang Zhaojin Wen Kannan Ramchandran Jiantao Jiao 44 55 0 30 Sep 2023
A Structured Prediction Approach for Robot Imitation Learning Anqing Duan Iason Batzianoulis Raffaello Camoriano Lorenzo Rosasco Daniele Pucci A. Billard 21 4 0 26 Sep 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 29 2 0 26 Sep 2023
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 30 9 0 25 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 34 0 0 21 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 44 9 0 18 Sep 2023
Trust-Region Neural Moving Horizon Estimation for Robots Bingheng Wang Xuyang Chen Lin Zhao 19 2 0 12 Sep 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 34 13 0 12 Sep 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 35 4 0 07 Sep 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension Miguel Abreu Luis Paulo Reis N. Lau 41 5 0 06 Sep 2023
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes Qinbo Bai Washim Uddin Mondal Vaneet Aggarwal 34 9 0 05 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 30 6 0 29 Aug 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 31 1 0 28 Aug 2023
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 39 0 0 28 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Prompt-Based Length Controlled Generation with Reinforcement Learning Renlong Jie Xiaojun Meng Lifeng Shang Xin Jiang Qun Liu 17 8 0 23 Aug 2023
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration Duo Wu Dayou Zhang Miao Zhang Ruoyu Zhang Fang Wang Shuguang Cui 26 7 0 19 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 38 0 0 13 Aug 2023
Reinforcement Learning for Financial Index Tracking X. Peng Chen Gong X. He 19 1 0 05 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 11 0 0 02 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 14 0 31 Jul 2023
Submodular Reinforcement Learning Manish Prajapat Mojmír Mutný M. Zeilinger Andreas Krause OffRL 30 12 0 25 Jul 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
Secrets of RLHF in Large Language Models Part I: PPO Rui Zheng Shihan Dou Songyang Gao Yuan Hua Wei Shen ... Hang Yan Tao Gui Qi Zhang Xipeng Qiu Xuanjing Huang ALM OffRL 43 159 0 11 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation Abhijeet Pendyala Justin Dettmer Tobias Glasmachers Asma Atamna OffRL 19 6 0 06 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 23 4 0 20 Jun 2023
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork Yonggang Jin Chenxu Wang Tianyu Zheng Liuyu Xiang Yao-Chun Yang Junge Zhang Jie Fu Zhaofeng He 3DH 42 0 0 19 Jun 2023
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 47 35 0 16 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning Muhammad Sulaiman Mahdieh Ahmadi M. A. Salahuddin R. Boutaba A. Saleh 42 6 0 15 Jun 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin G. Jamieson 36 14 0 15 Jun 2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models Lingxi Xie Longhui Wei Xiaopeng Zhang Kaifeng Bi Xiaotao Gu Jianlong Chang Qi Tian 35 7 0 14 Jun 2023
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach Dong-hwan Lee 21 2 0 09 Jun 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 27 4 0 31 May 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 46 14 0 25 May 2023
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 21 0 0 23 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 52 0 0 23 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 44 318 0 22 May 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko ... Olivier Pietquin M. Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo OffRL 30 2 0 22 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 28 40 0 22 May 2023