Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking Desong Du Naiming Qi Yanfang Liu Wei Pan 14 0 0 07 Nov 2023
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization Kun Lei Zhengmao He Chenhao Lu Kaizhe Hu Yang Gao Huazhe Xu OffRL OnRL 67 13 0 06 Nov 2023
Active Reasoning in an Open-World Environment Manjie Xu Guangyuan Jiang Weihan Liang Chi Zhang Yixin Zhu LLMAG LRM 21 10 0 03 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 30 5 0 02 Nov 2023
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization Jaafar Mhamed Shangding Gu 24 0 0 01 Nov 2023
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan Dinesh Sharma Ankit Shah Chaitra Gopalappa 40 0 0 01 Nov 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 38 5 0 31 Oct 2023
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization Philipp Dahlinger P. Becker Maximilian Hüttenrauch Gerhard Neumann 21 0 0 31 Oct 2023
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning Haoyu Liu A. Diallo P. Patras AAML 16 3 0 31 Oct 2023
Dropout Strategy in Reinforcement Learning: Limiting the Surrogate Objective Variance in Policy Optimization Methods Zhengpeng Xie Changdong Yu Weizheng Qiao 29 1 0 31 Oct 2023
Network Contention-Aware Cluster Scheduling with Reinforcement Learning Junyeol Ryu Jeongyoon Eo GNN 17 0 0 31 Oct 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 40 1 0 30 Oct 2023
Robot Control based on Motor Primitives -- A Comparison of Two Approaches Moses C. Nah Johannes Lachner Neville Hogan 26 3 0 28 Oct 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 35 2 0 28 Oct 2023
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike B. Gaudet K. Drozd R. Furfaro 11 1 0 27 Oct 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks Ryan Sullivan Akarsh Kumar Shengyi Huang John P. Dickerson Joseph Suárez OffRL 24 5 0 26 Oct 2023
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic Dexter Neo Tsuhan Chen 30 1 0 26 Oct 2023
Fractal Landscapes in Policy Optimization Tao Wang Sylvia Herbert Sicun Gao 34 5 0 24 Oct 2023
A Doubly Robust Approach to Sparse Reinforcement Learning Wonyoung Hedge Kim Garud Iyengar A. Zeevi 25 3 0 23 Oct 2023
Policy Gradient with Kernel Quadrature Satoshi Hayakawa Tetsuro Morimura OffRL BDL 32 0 0 23 Oct 2023
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 52 4 0 20 Oct 2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits Yuhang Zhang Marcos Quiñones-Grueiro Zhiyao Zhang Yanbing Wang William Barbour Gautam Biswas Dan Work 38 5 0 18 Oct 2023
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes Washim Uddin Mondal Vaneet Aggarwal 38 9 0 18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 29 0 0 16 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
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands Fengbo Lan Shengjie Wang Yunzhe Zhang Haotian Xu Oluwatosin Oseni Yang Gao Tao Zhang 47 5 0 13 Oct 2023
Discovering Fatigued Movements for Virtual Character Animation N. Cheema Rui Xu Nam Hee Kim Perttu Hämäläinen Vladislav Golyanik Marc Habermann Christian Theobalt Philipp Slusallek 32 4 0 12 Oct 2023
Discerning Temporal Difference Learning Jianfei Ma 15 0 0 12 Oct 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 39 7 0 11 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 23 1 0 11 Oct 2023
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer Finn Rietz J. A. Stork 33 0 0 11 Oct 2023
Imitation Learning from Observation with Automatic Discount Scheduling Yuyang Liu Weijun Dong Yingdong Hu Chuan Wen Zhao-Heng Yin Chongjie Zhang Yang Gao 30 6 0 11 Oct 2023
Imitation Learning from Purified Demonstration Yunke Wang Minjing Dong Bo Du Chang Xu 31 1 0 11 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
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates Guangchen Lan Han Wang James Anderson Christopher G. Brinton Vaneet Aggarwal FedML 32 27 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
Distributional Soft Actor-Critic with Three Refinements Jingliang Duan Wenxuan Wang Liming Xiao Jiaxin Gao Shengbo Eben Li Chang Liu Ya-Qin Zhang Bo Cheng Keqiang Li OODD OffRL 27 2 0 09 Oct 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility Lang Feng Dong Xing Junru Zhang Gang Pan 34 1 0 08 Oct 2023
Safe Deep Policy Adaptation Wenli Xiao Tairan He John M. Dolan Guanya Shi 34 9 0 08 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen Zelai Xu Yunfei Li Chao Yu Jiaming Song Huazhong Yang Fei Fang Yu Wang Yi Wu 34 4 0 07 Oct 2023
Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning Hao-bin Shi Qing Zhu Lei Han Wanchao Chi Tingguang Li Max Q.-H. Meng 40 3 0 07 Oct 2023
Deep Model Predictive Optimization Jacob Sacks Rwik Rana Kevin Huang Alex Spitzer Guanya Shi Byron Boots 48 7 0 06 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 50 48 0 06 Oct 2023
Reinforcement Learning with Fast and Forgetful Memory Steven D. Morad Ryan Kortvelesy Stephan Liwicki Amanda Prorok OffRL 29 4 0 06 Oct 2023
TRAM: Bridging Trust Regions and Sharpness Aware Minimization Tom Sherborne Naomi Saphra Pradeep Dasigi Hao Peng 32 4 0 05 Oct 2023
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 29 3 0 05 Oct 2023
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms Akifumi Wachi Wataru Hashimoto Xun Shen Kazumune Hashimoto 22 9 0 05 Oct 2023
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study Fouzi Boukhalfa Réda Alami Mastane Achab Eric Moulines M. Bennis 11 1 0 04 Oct 2023
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods Sara Klein Simon Weissmann Leif Döring 29 7 0 04 Oct 2023