Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,402 papers shown

Title
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 53 53 0 18 Jun 2020
WD3: Taming the Estimation Bias in Deep Reinforcement Learning Qiang He Xinwen Hou OffRL 19 28 0 18 Jun 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning Eivind Meyer Amalie Heiberg Adil Rasheed Omer San 43 74 0 16 Jun 2020
Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning Bram Cals Yingqian Zhang R. Dijkman Claudy van Dorst OffRL 25 29 0 16 Jun 2020
Semantic Curiosity for Active Visual Learning Devendra Singh Chaplot Helen Jiang Saurabh Gupta Abhinav Gupta ObjD 30 72 0 16 Jun 2020
Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning Marvin Chancán Michael Milford SSL 26 0 0 16 Jun 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 Jun 2020
Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning Sahar Daraeizadeh S. Premaratne A. Matsuura 22 5 0 15 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 38 83 0 15 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 31 222 0 14 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations Kun-Peng Ning Sheng-Jun Huang 14 7 0 14 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 32 18 0 14 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 38 24 0 12 Jun 2020
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis Ye Yuan Kris Kitani 54 75 0 12 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 35 109 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 28 44 0 12 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 40 101 0 12 Jun 2020
Avoiding Side Effects in Complex Environments Alexander Matt Turner Neale Ratzlaff Prasad Tadepalli 35 34 0 11 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 215 0 10 Jun 2020
Learning to Play Table Tennis From Scratch using Muscular Robots Le Chen Simon Guist Roberto Calandra V. Berenz Bernhard Schölkopf Jan Peters 21 88 0 10 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 26 16 0 10 Jun 2020
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation Dong Yang H. Roth Ziyue Xu Fausto Milletari Ling Zhang Daguang Xu 24 46 0 10 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 32 86 0 10 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 31 45 0 09 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet Joel Lehman 34 32 0 08 Jun 2020
A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret Mehdi Jafarnia-Jahromi Chen-Yu Wei Rahul Jain Haipeng Luo 48 7 0 08 Jun 2020
Randomized Policy Learning for Continuous State and Action MDPs Hiteshi Sharma Rahul Jain 31 1 0 08 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 63 24 0 07 Jun 2020
State Action Separable Reinforcement Learning Ziyao Zhang Liang Ma K. Leung Konstantinos Poularakis Mudhakar Srivatsa 36 2 0 05 Jun 2020
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space Jonas C. Kiemel Pascal Meissner Torsten Kröger 25 6 0 05 Jun 2020
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control Ian Abraham Ankur Handa Nathan D. Ratliff Kendall Lowrey Todd Murphey Dieter Fox 35 39 0 04 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion Josh Roy George Konidaris 22 16 0 04 Jun 2020
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty Panagiotis Petsagkourakis I. O. Sandoval E. Bradford Dongda Zhang Ehecatl Antonio del Rio Chanona 20 11 0 04 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 33 138 0 02 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 30 2 0 02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 67 225 0 01 Jun 2020
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning Zhibo Yang Lihan Huang Yupei Chen Zijun Wei Seoyoung Ahn G. Zelinsky Dimitris Samaras Minh Hoai 42 96 0 28 May 2020
A reinforcement learning approach to rare trajectory sampling Dominic C. Rose Jamie F. Mair J. P. Garrahan 29 51 0 26 May 2020
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen Chang Wang Jian Huang Jianxing Gong 46 5 0 26 May 2020
Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot Ruslan Salakhutdinov Abhinav Gupta Saurabh Gupta 52 291 0 25 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 50 11 0 25 May 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 39 1 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 38 13 0 21 May 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 41 18 0 21 May 2020
Learning natural locomotion behaviors for humanoid robots using human knowledge Chuanyu Yang Kai Yuan Shuai Heng Taku Komura Zhibin Li 29 38 0 20 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 96 0 20 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 47 83 0 20 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 43 83 0 18 May 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 23 65 0 17 May 2020