Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 26 0 0 23 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 59 0 0 23 May 2023
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning Sumeet Batra Bryon Tjanaka Matthew C. Fontaine Aleksei Petrenko Stefanos Nikolaidis Gaurav Sukhatme OffRL 53 12 0 23 May 2023
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning Ruiyang Xu Jalaj Bhandari D. Korenkevych F. Liu Yuchen He Alex Nikulkov Zheqing Zhu OffRL 39 6 0 23 May 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 54 13 0 23 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 44 320 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 35 3 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 44 40 0 22 May 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models Wenhao Ding Tong Che Ding Zhao Marco Pavone BDL OffRL 22 2 0 18 May 2023
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL Qinghua Liu Gellert Weisz András Gyorgy Chi Jin Csaba Szepesvári OffRL 26 9 0 18 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 35 3 0 18 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 28 5 0 17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 38 14 0 17 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 75 47 0 16 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 29 2 0 15 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 33 6 0 15 May 2023
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes Han Zhong Tong Zhang 35 26 0 15 May 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback Tal Lancewicki Aviv A. Rosenberg Dmitry Sotnikov 31 3 0 13 May 2023
Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms Jinyang Jiang Jiaqiao Hu Yijie Peng 20 2 0 12 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning Jean Vassoyan Jill-Jênn Vie Pirmin Lemberger GNN 24 2 0 10 May 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 61 4 0 10 May 2023
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization Paul Seurin K. Shirvan 32 8 0 09 May 2023
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan Yuzheng Zhuang Yuecheng Liu Jianye Hao Bin Wang Jiangcheng Zhu Hao Wang Shutao Xia 37 17 0 09 May 2023
Reinforcement Learning for Topic Models Jeremy Costello Marek Reformat BDL OffRL 26 2 0 08 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 48 3 0 08 May 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 29 2 0 07 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 35 1 0 04 May 2023
Correcting for Interference in Experiments: A Case Study at Douyin Vivek F. Farias Hao Li Tianyi Peng Xinyuyang Ren B. Hassibi A. Zheng 41 9 0 04 May 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 29 2 0 01 May 2023
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning Liangyu Zhang Yang Peng Wenhao Yang Zhihua Zhang 21 1 0 29 Apr 2023
Systematic Review on Reinforcement Learning in the Field of Fintech Nadeem Malibari Iyad A. Katib Rashid Mehmood OffRL 26 4 0 29 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 51 15 0 27 Apr 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 38 13 0 26 Apr 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 52 143 0 26 Apr 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 44 0 0 25 Apr 2023
System III: Learning with Domain Knowledge for Safety Constraints Fazl Barez Hosien Hasanbieg Alesandro Abbate 35 4 0 23 Apr 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li James Harrison Jascha Narain Sohl-Dickstein Virginia Smith Luke Metz 56 5 0 21 Apr 2023
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning Mizhaan Prajit Maniyar Akash Mondal Prashanth L.A. S. Bhatnagar 51 0 0 21 Apr 2023
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning F. Capuano D. Peceli Gabriele Tiboni Raffaello Camoriano Bedvrich Rus 14 1 0 20 Apr 2023
Robust nonlinear set-point control with reinforcement learning Ruoqing Zhang Per Mattsson T. Wigren OOD 6 2 0 20 Apr 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 25 37 0 19 Apr 2023
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles Xiaoliang Ju Yiyang Sun Yiming Hao Yikang Li Yu Qiao Hongsheng Li 22 1 0 19 Apr 2023
Searching for ribbons with machine learning Sergei Gukov James Halverson Ciprian Manolescu Fabian Ruehle 13 13 0 18 Apr 2023
Cooperative Multi-Agent Reinforcement Learning for Inventory Management Madhav Khirwar Karthik S. Gurumoorthy Ankit Jain Shantala Manchenahally 23 4 0 18 Apr 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization Agustinus Kristiadi Alexander Immer Runa Eschenhagen Vincent Fortuin BDL UQCV 30 8 0 17 Apr 2023
Multi-agent Policy Reciprocity with Theoretical Guarantee Haozhi Wang Yinchuan Li Qing Wang Yunfeng Shao Jianye Hao 25 0 0 12 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning Shreyank N. Gowda 32 16 0 06 Apr 2023
Quantum Imitation Learning Zhihao Cheng Kaining Zhang Li Shen Dacheng Tao 27 1 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 45 15 0 04 Apr 2023