Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,399 papers shown

Title
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 52 278 0 13 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 37 57 0 12 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 32 15 0 11 May 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation Xinting Huang Jianzhong Qi Yu Sun Rui Zhang OffRL 71 18 0 09 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 20 15 0 07 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 46 19 0 06 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 67 456 0 02 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 649 0 30 Apr 2020
Plan-Space State Embeddings for Improved Reinforcement Learning Max Pflueger Gaurav Sukhatme 17 1 0 30 Apr 2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee Minghao Han Lixian Zhang Jun Wang Wei Pan 18 107 0 29 Apr 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 36 131 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 52 355 0 27 Apr 2020
Reinforcement Learning Generalization with Surprise Minimization Jerry Zikun Chen OOD 29 19 0 26 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 50 54 0 24 Apr 2020
OF-VO: Efficient Navigation among Pedestrians Using Commodity Sensors Jing Liang Yi-Ling Qiao Tianrui Guan Tianyi Zhou 18 13 0 23 Apr 2020
Qd-tree: Learning Data Layouts for Big Data Analytics Zongheng Yang Badrish Chandramouli Chi Wang J. Gehrke Yinan Li U. F. Minhas P. Larson Donald Kossmann R. Acharya 21 93 0 22 Apr 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 36 38 0 22 Apr 2020
Policy Gradient from Demonstration and Curiosity Jie Chen Wenjun Xu 24 11 0 22 Apr 2020
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness Zheng Zhang Lizi Liao Xiaoyan Zhu Tat-Seng Chua Zitao Liu Yan Huang Minlie Huang LLMAG 35 20 0 21 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion Aditi Mavalankar OffRL 40 7 0 17 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 30 21 0 17 Apr 2020
Network-principled deep generative models for designing drug combinations as graph sets Mostafa Karimi Arman Hasanzadeh Yang Shen GNN 38 31 0 16 Apr 2020
lamBERT: Language and Action Learning Using Multimodal BERT Kazuki Miyazawa Tatsuya Aoki Takato Horii Takayuki Nagai SSL LM&Ro 47 12 0 15 Apr 2020
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems Ralf Gulde Marc Tuscher A. Csiszar O. Riedel A. Verl AI4CE 19 1 0 14 Apr 2020
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios Baiming Chen Xiang Chen Qiong Wu Liang-Sheng Li AAML 22 94 0 14 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 27 41 0 11 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 161 1,944 0 11 Apr 2020
Residual Policy Learning for Shared Autonomy Charles B. Schaff Matthew R. Walter 30 40 0 10 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 24 122 0 07 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 19 163 0 07 Apr 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control Supriyo Ghosh Sean Laguna Shiau Hong Lim L. Wynter Hasan A. Poonawala 35 14 0 03 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 37 81 0 02 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 41 499 0 02 Apr 2020
A New Challenge: Approaching Tetris Link with AI Matthias Muller-Brockhausen Mike Preuss Aske Plaat 11 2 0 01 Apr 2020
Learning to Ask Medical Questions using Reinforcement Learning Uri Shaham Tom Zahavy C. Caraballo S. Mahajan D. Massey H. Krumholz OOD 29 1 0 31 Mar 2020
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation Mariko Isogawa Ye Yuan Matthew O'Toole Kris Kitani 3DH 30 61 0 31 Mar 2020
Robotic Table Tennis with Model-Free Reinforcement Learning Wenbo Gao L. Graesser K. Choromanski Xingyou Song N. Lazić Pannag R Sanketi Vikas Sindhwani Navdeep Jaitly 24 45 0 31 Mar 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning Gerben Beintema Alessandro Corbetta Luca Biferale F. Toschi AI4CE 38 79 0 31 Mar 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos Matthieu Geist 27 43 0 31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization Sangwon Jung Hongjoon Ahn Sungmin Cha Taesup Moon CLL 25 120 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 51 20 0 29 Mar 2020
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping Dan-xu Zhang Colleen P. Bailey 11 12 0 28 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 60 122 0 26 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 35 12 0 25 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning Karsten Roth Timo Milbich Bjorn Ommer 34 49 0 24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 48 122 0 24 Mar 2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 47 36 0 24 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 61 262 0 19 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 37 126 0 19 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 39 111 0 18 Mar 2020