Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network Duzhen Zhang Tielin Zhang Shuncheng Jia Qingyu Wang Bo Xu OffRL 180 5 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
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context Xiaoyu Chen Xiangming Zhu Yufeng Zheng Pushi Zhang Li Zhao ... Peng Cheng Y. Xiong Tao Qin Jianyu Chen Tie-Yan Liu OffRL 16 11 0 24 Dec 2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 21 0 0 23 Dec 2022
Local Policy Improvement for Recommender Systems Dawen Liang N. Vlassis OffRL 21 3 0 22 Dec 2022
Lifelong Reinforcement Learning with Modulating Masks Eseoghene Ben-Iwhiwhu Saptarshi Nath Praveen K. Pilly Soheil Kolouri Andrea Soltoggio CLL OffRL 37 20 0 21 Dec 2022
Policy Gradient in Robust MDPs with Global Convergence Guarantee Qiuhao Wang C. Ho Marek Petrik 27 24 0 20 Dec 2022
Risk-Sensitive Reinforcement Learning with Exponential Criteria Erfaun Noorani Christos N. Mavridis John S. Baras 30 8 0 18 Dec 2022
Cognitive Level- $k$ Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving Haozhe Lei Quanyan Zhu 28 0 0 17 Dec 2022
Latent Variable Representation for Reinforcement Learning Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 33 10 0 17 Dec 2022
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems C. Tong Aaron Harwood Maria A. Rodriguez Richard Sinnott 24 1 0 16 Dec 2022
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning Lindsey Kerbel B. Ayalew Andrej Ivanco K. Loiselle OffRL 24 8 0 15 Dec 2022
Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 25 8 0 14 Dec 2022
Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang Taoxing Pan Qi Zhou Jie Wang OffRL 20 10 0 14 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 21 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 27 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 Eng Siong Chng 33 26 0 10 Dec 2022
Model-based trajectory stitching for improved behavioural cloning and its applications Charles A. Hepburn Giovanni Montana OffRL 34 5 0 08 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 19 18 0 08 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 26 4 0 03 Dec 2022
Launchpad: Learning to Schedule Using Offline and Online RL Methods V. Venkataswamy J. E. Grigsby A. Grimshaw Yanjun Qi OffRL OnRL 24 1 0 01 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
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison H. Flynn David Reeb M. Kandemir Jan Peters OffRL 19 7 0 29 Nov 2022
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li Edwin Zhang Ming Yin Qinxun Bai Yu Wang William Yang Wang OffRL 39 15 0 29 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 38 4 0 28 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control Xiaoyu Wang Scott Sanner Baher Abdulhai 22 5 0 26 Nov 2022
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility Lei Wang Hongyu Yang Yi Lin S. Yin Yuankai Wu 6 5 0 24 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 34 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
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Yiwen Qiu Jialong Wu Zhangjie Cao Mingsheng Long 31 3 0 13 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 33 1 0 12 Nov 2022
The Expertise Problem: Learning from Specialized Feedback Oliver Daniels-Koch Rachel Freedman OffRL 41 17 0 12 Nov 2022
Job Scheduling in Datacenters using Constraint Controlled RL V. Venkataswamy 11 1 0 10 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 21 8 0 06 Nov 2022
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon Bimanual Coffee Stirring Task Zheng Sun Zhiqi Wang Junjia Liu Miao Li Fei Chen 34 4 0 04 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
Geometry and convergence of natural policy gradient methods Johannes Muller Guido Montúfar 29 11 0 03 Nov 2022
Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints Anika Singh Aviral Kumar Q. Vuong Yevgen Chebotar Sergey Levine OffRL 32 14 0 02 Nov 2022
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems Michael Giegrich Christoph Reisinger Yufei Zhang 37 11 0 01 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 25 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