Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,213 papers shown

Title
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 32 30 0 04 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 17 267 0 04 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 37 390 0 03 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 37 160 0 02 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo DRL 22 17 0 02 Oct 2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 30 262 0 02 Oct 2018
Bayesian Policy Optimization for Model Uncertainty Gilwoo Lee Brian Hou Aditya Mandalika Jeongseok Lee Sanjiban Choudhury S. Srinivasa 22 41 0 01 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris Kitani 27 68 0 29 Sep 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 39 29 0 27 Sep 2018
Scaling simulation-to-real transfer by learning composable robot skills Ryan Julian Eric Heiden Zhanpeng He Hejia Zhang S. Schaal Joseph J. Lim Gaurav Sukhatme Karol Hausman 25 15 0 26 Sep 2018
On Reinforcement Learning for Full-length Game of StarCraft Zhen-Jia Pang Ruo-Ze Liu Zhou-Yu Meng Yuanhang Zhang Yang Yu Tong Lu OffRL 10 88 0 23 Sep 2018
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical System Identification Biao Jia Zherong Pan Tianyi Zhou 29 5 0 21 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 22 61 0 17 Sep 2018
Policy Optimization via Importance Sampling Alberto Maria Metelli Matteo Papini Francesco Faccio Marcello Restelli OffRL 26 89 0 17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation Weihao Yuan Kaiyu Hang Haoran Song Danica Kragic M. Y. Wang J. A. Stork 22 26 0 12 Sep 2018
Safe Navigation with Human Instructions in Complex Scenes Zhe Hu Jia Pan Tingxiang Fan Ruigang Yang Tianyi Zhou 32 28 0 12 Sep 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 34 64 0 09 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 43 257 0 09 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 44 809 0 07 Sep 2018
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models Yueh-hua Wu Fan-Yun Sun Yen-Yu Chang Shou-De Lin 17 5 0 06 Sep 2018
Gibson Env: Real-World Perception for Embodied Agents F. Xia Amir Zamir Zhi-Yang He Alexander Sax Jitendra Malik Silvio Savarese AI4CE LM&Ro 34 817 0 31 Aug 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods Aloïs Pourchot Nicolas Perrin Olivier Sigaud 30 14 0 17 Aug 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 33 66 0 09 Aug 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 52 1,859 0 01 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 34 2 0 26 Jul 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches Sanyam Kapoor 27 31 0 25 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 37 100 0 24 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 28 43 0 16 Jul 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 28 32 0 14 Jul 2018
Deep Learning in the Wild Thilo Stadelmann Mohammadreza Amirian Ismail Arabaci M. Arnold G. Duivesteijn ... Melanie Geiger Stefan Lörwald B. Meier Katharina Rombach Lukas Tuggener 24 42 0 13 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 31 68 0 12 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 41 95 0 06 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 54 1,077 0 04 Jul 2018
Using Reinforcement Learning with Partial Vehicle Detection for Intelligent Traffic Signal Control Rusheng Zhang A. Ishikawa Wenli Wang Benjamin Striner Ozan Tonguz 32 101 0 04 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 43 716 0 03 Jul 2018
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis Surya Bhupatiraju Kumar Krishna Agrawal Rishabh Singh 16 6 0 01 Jul 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 42 215 0 20 Jun 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 29 123 0 17 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 37 57 0 16 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 891 0 07 Jun 2018
Neural Control Variates for Variance Reduction Ruosi Wan Mingjun Zhong Haoyi Xiong Zhanxing Zhu BDL DRL 27 18 0 01 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification Manoj Kumar George E. Dahl Vijay Vasudevan Mohammad Norouzi 36 25 0 25 May 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018