Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,062 papers shown

Title
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 26 118 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 19 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 31 98 0 04 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 35 597 0 01 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 41 16 0 31 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 30 32 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 42 136 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
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control Zhuo Xu Chen Tang Masayoshi Tomizuka OffRL 27 35 0 07 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 54 661 0 06 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity Yunshu Du Wojciech M. Czarnecki Siddhant M. Jayakumar Mehrdad Farajtabar Razvan Pascanu Balaji Lakshminarayanan 35 156 0 05 Dec 2018
Mitigating Planner Overfitting in Model-Based Reinforcement Learning Dilip Arumugam David Abel Kavosh Asadi N. Gopalan Christopher Grimm Jun Ki Lee Lucas Lehnert Michael L. Littman 24 11 0 03 Dec 2018
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 29 58 0 03 Dec 2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play R. Mahjourian Navdeep Jaitly N. Lazić Sergey Levine Risto Miikkulainen 24 16 0 30 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 101 0 24 Nov 2018
Connecting the Dots Between MLE and RL for Sequence Prediction Bowen Tan Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing 28 24 0 24 Nov 2018
Hierarchical visuomotor control of humanoids J. Merel Arun Ahuja Vu Pham S. Tunyasuvunakool Siqi Liu Dhruva Tirumala N. Heess Greg Wayne 48 97 0 23 Nov 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 63 0 19 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 36 397 0 19 Nov 2018
Policy Optimization with Model-based Explorations Feiyang Pan Qingpeng Cai Anxiang Zeng C. Pan Qing Da Hua-Lin He Qing He Pingzhong Tang 36 11 0 18 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning Qiming Zou Ling Wang K. Lu Yu Li OffRL 25 0 0 09 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 23 54 0 08 Nov 2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning Yanchun Xie Jimin Xiao Hassan Jameel Asghar Jeyarajan Thiyagalingam Dali Kaafar 18 21 0 08 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 48 284 0 07 Nov 2018
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 30 50 0 06 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 27 73 0 05 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Temporal Regularization in Markov Decision Process Pierre Thodoroff A. Durand Joelle Pineau Doina Precup 30 15 0 01 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 18 68 0 25 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 13 148 0 21 Oct 2018
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 38 232 0 18 Oct 2018
Policy Gradient in Partially Observable Environments: Approximation and Convergence Kamyar Azizzadenesheli Manish Kumar Bera Anima Anandkumar OffRL 30 8 0 18 Oct 2018