Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 1,112 papers shown

Title
Learning the Kalman Filter with Fine-Grained Sample Complexity Xiangyuan Zhang Bin Hu Tamer Bacsar 26 16 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 25 4 0 29 Jan 2023
Stochastic Dimension-reduced Second-order Methods for Policy Optimization Jinsong Liu Chen Xie Qinwen Deng Dongdong Ge Yi-Li Ye 32 1 0 28 Jan 2023
Joint action loss for proximal policy optimization Xiulei Song Yi-Fan Jin Greg Slabaugh Simon Lucas 16 0 0 26 Jan 2023
Constrained Reinforcement Learning for Dexterous Manipulation A. Jain Jack Kolb Harish Ravichandar 24 2 0 24 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Zhanteng Xie P. Dames 46 61 0 16 Jan 2023
The Role of Baselines in Policy Gradient Optimization Jincheng Mei Wesley Chung Valentin Thomas Bo Dai Csaba Szepesvári Dale Schuurmans 29 15 0 16 Jan 2023
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps Shathushan Sivashangaran A. Eskandarian 24 4 0 10 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 35 2 0 10 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism Xudong Guo Daming Shi Wenhui Fan 22 5 0 05 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits Ruibo Liu Chenyan Jia Ge Zhang Ziyu Zhuang Tony X. Liu Soroush Vosoughi 99 35 0 01 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
Offline Policy Optimization in RL with Variance Regularizaton Riashat Islam Samarth Sinha Homanga Bharadhwaj Samin Yeasar Arnob Zhuoran Yang Animesh Garg Zhaoran Wang Lihong Li Doina Precup OffRL 26 0 0 29 Dec 2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi Ma Sergey Levine 37 14 0 24 Dec 2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 21 0 0 23 Dec 2022
Cognitive Level- $k$ Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving Haozhe Lei Quanyan Zhu 22 0 0 17 Dec 2022
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning Lindsey Kerbel B. Ayalew Andrej Ivanco K. Loiselle OffRL 21 8 0 15 Dec 2022
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets M. Anwar Changlong Wang F. D. Nijs Hao Wang 13 12 0 13 Dec 2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration Qisheng Zhang Zhen Guo A. Jøsang Lance M. Kaplan F. Chen Dong-Ho Jeong Jin-Hee Cho 25 0 0 13 Dec 2022
Variance-Reduced Conservative Policy Iteration Naman Agarwal Brian Bullins Karan Singh 32 3 0 12 Dec 2022
Molecular Graph Generation by Decomposition and Reassembling Masatsugu Yamada M. Sugiyama 21 4 0 11 Dec 2022
Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning Chen Chen Yuchen Hu Qiang Zhang Heqing Zou Beier Zhu E. Chng 33 26 0 10 Dec 2022
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble Chong Li OffRL 32 0 0 07 Dec 2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward Yanjiang Guo Jingyue Gao Zheng Wu Chengming Shi Jianyu Chen OffRL 21 4 0 03 Dec 2022
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning Xiao Yu Qingyang Wu Kun Qian Zhou Yu OffRL 21 11 0 30 Nov 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 30 2 0 29 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 35 4 0 28 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning Charles A. Hepburn Giovanni Montana OffRL 32 13 0 21 Nov 2022
Automating Rigid Origami Design Jeremia Geiger Karolis Martinkus Oliver Richter Roger Wattenhofer 19 1 0 20 Nov 2022
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu Kaipeng Zhang Tamer Basar W. Yin 48 102 0 15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 36 24 0 14 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 27 8 0 07 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 19 8 0 06 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 23 9 0 01 Nov 2022
Teacher-student curriculum learning for reinforcement learning Yanick Schraner OffRL 37 2 0 31 Oct 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 33 5 0 30 Oct 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 34 3 0 28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 15 0 27 Oct 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 22 6 0 27 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 35 14 0 26 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 30 27 0 24 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 19 0 0 24 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 37 22 0 22 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 34 6 0 22 Oct 2022
Bridging the Gap Between Target Networks and Functional Regularization Alexandre Piché Valentin Thomas Joseph Marino Rafael Pardiñas Gian Maria Marconi C. Pal Mohammad Emtiyaz Khan 14 1 0 21 Oct 2022
Deep Reinforcement Learning for Stabilization of Large-scale Probabilistic Boolean Networks S. Moschoyiannis Evangelos Chatzaroulas Vytenis Sliogeris Yuhu Wu BDL OffRL AI4CE 16 7 0 21 Oct 2022