Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,146 papers shown

Title
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 26 153 0 11 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 26 17 0 11 Mar 2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning Qiuhua Huang Renke Huang Weituo Hao Jie Tan Rui Fan Zhenyu Huang 22 270 0 09 Mar 2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes Bohan Wu Iretiayo Akinola Peter K. Allen 22 34 0 08 Mar 2019
Provably Robust Blackbox Optimization for Reinforcement Learning K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang Deepali Jain Yuxiang Yang Atil Iscen Jasmine Hsu Vikas Sindhwani 21 5 0 07 Mar 2019
Using Natural Language for Reward Shaping in Reinforcement Learning Prasoon Goyal S. Niekum Raymond J. Mooney LM&Ro 46 176 0 05 Mar 2019
Deep Active Localization S. Gottipati K. Seo Dhaivat Bhatt Vincent Mai Krishna Murthy Jatavallabhula Liam Paull 21 37 0 05 Mar 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 12 114 0 04 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 19 134 0 04 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 19 13 0 02 Mar 2019
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers Baihan Lin 30 2 0 27 Feb 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 43 120 0 27 Feb 2019
Design of intentional backdoors in sequential models Zhaoyuan Yang N. Iyer Johan Reimann Nurali Virani SILM AAML 25 38 0 26 Feb 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 18 48 0 25 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 22 48 0 19 Feb 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning Andrew Silva Matthew C. Gombolay OffRL 32 20 0 15 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 30 9 0 15 Feb 2019
Learn a Prior for RHEA for Better Online Planning Xinyao Tong W. Liu Bin Li OffRL 64 0 0 14 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 19 9 0 14 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam Jun Ki Lee S. Saskin Michael L. Littman 28 94 0 12 Feb 2019
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems T. Dreossi Daniel J. Fremont Shromona Ghosh Edward J. Kim H. Ravanbakhsh Marcell Vazquez-Chanlatte Sanjit A. Seshia 18 29 0 12 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 20 40 0 07 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 24 38 0 03 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 27 28 0 31 Jan 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 119 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning Hassam Sheikh Ladislau Bölöni 20 3 0 28 Jan 2019
The Assistive Multi-Armed Bandit Lawrence Chan Dylan Hadfield-Menell S. Srinivasa Anca Dragan 14 36 0 24 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 16 211 0 24 Jan 2019
Distillation Strategies for Proximal Policy Optimization Sam Green C. Vineyard Ç. Koç 27 8 0 23 Jan 2019
Hierarchical Reinforcement Learning for Multi-agent MOBA Game Zhijian Zhang Haozheng Li Lu Zhang Tianyin Zheng Ting Zhang Xiong Hao Xiaoxin Chen Min Chen Fangxu Xiao Wei Zhou 17 15 0 23 Jan 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 24 7 0 23 Jan 2019
Neuroflight: Next Generation Flight Control Firmware W. Koch R. Mancuso Azer Bestavros 41 29 0 19 Jan 2019
On-Policy Trust Region Policy Optimisation with Replay Buffers D. Kangin N. Pugeault OffRL 19 3 0 18 Jan 2019
Imitation-Regularized Offline Learning Yifei Ma Yu Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 27 22 0 15 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 29 36 0 15 Jan 2019
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search Xiangxiang Chu Bo Zhang Ruijun Xu Hailong Ma 36 98 0 04 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 46 597 0 01 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas Guibas Silvio Savarese Jitendra Malik SSL 49 16 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 22 28 0 29 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 29 5 0 24 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 32 31 0 19 Dec 2018
Hierarchical Macro Strategy Model for MOBA Game AI Bin Wu Qiang Fu Jing Liang Peng-fei Qu Xiaoqian Li Liang Wang Wei Liu Wei Yang Yongsheng Liu 34 63 0 19 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 44 136 0 08 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kai Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018