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Proximal Policy Optimization Algorithms

Proximal Policy Optimization Algorithms

20 July 2017
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
    OffRL
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Papers citing "Proximal Policy Optimization Algorithms"

50 / 6,731 papers shown
Title
AutoLoss: Learning Discrete Schedules for Alternate Optimization
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Haowen Xu
Huan Zhang
Zhiting Hu
Xiaodan Liang
Ruslan Salakhutdinov
Eric P. Xing
26
30
0
04 Oct 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
14
266
0
04 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINN
AI4CE
32
389
0
03 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
32
159
0
02 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning
  Environments
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
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
16
260
0
02 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris M. Kitani
21
68
0
29 Sep 2018
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical
  System Identification
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical System Identification
Biao Jia
Zherong Pan
Tianyi Zhou
14
5
0
21 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning
Adversarial Imitation via Variational Inverse Reinforcement Learning
A. H. Qureshi
Byron Boots
Michael C. Yip
14
61
0
17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
21
224
0
14 Sep 2018
Reinforcement Learning in Topology-based Representation for Human Body
  Movement with Whole Arm Manipulation
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
6
26
0
12 Sep 2018
Safe Navigation with Human Instructions in Complex Scenes
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
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
29
64
0
09 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
35
256
0
09 Sep 2018
Unity: A General Platform for Intelligent Agents
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
16
808
0
07 Sep 2018
Importance mixing: Improving sample reuse in evolutionary policy search
  methods
Importance mixing: Improving sample reuse in evolutionary policy search methods
Aloïs Pourchot
Nicolas Perrin
Olivier Sigaud
7
14
0
17 Aug 2018
Policy Optimization as Wasserstein Gradient Flows
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
14
66
0
09 Aug 2018
Learning Actionable Representations from Visual Observations
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
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
15
1,853
0
01 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
18
2
0
26 Jul 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and
  Approaches
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches
Sanyam Kapoor
19
31
0
25 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries
Online Robust Policy Learning in the Presence of Unknown Adversaries
Aaron J. Havens
Zhanhong Jiang
S. Sarkar
AAML
16
43
0
16 Jul 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent
  Navigation
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
Wenhao Ding
Shuaijun Li
Huihuan Qian
21
32
0
14 Jul 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
26
68
0
12 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven
  Environments
Variance Reduction for Reinforcement Learning in Input-Driven Environments
Hongzi Mao
S. Venkatakrishnan
Malte Schwarzkopf
Mohammad Alizadeh
OffRL
41
94
0
06 Jul 2018
Using Reinforcement Learning with Partial Vehicle Detection for
  Intelligent Traffic Signal Control
Using Reinforcement Learning with Partial Vehicle Detection for Intelligent Traffic Signal Control
Rusheng Zhang
A. Ishikawa
Wenli Wang
Benjamin Striner
Ozan Tonguz
24
100
0
04 Jul 2018
Human-level performance in first-person multiplayer games with
  population-based deep reinforcement learning
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
34
715
0
03 Jul 2018
A Dissection of Overfitting and Generalization in Continuous
  Reinforcement Learning
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
Amy Zhang
Nicolas Ballas
Joelle Pineau
CLL
OffRL
30
177
0
20 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
30
212
0
20 Jun 2018
Learning Policy Representations in Multiagent Systems
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
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic
James Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
OffRL
24
57
0
16 Jun 2018
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
48
470
0
14 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement
  Learning with Trajectory Embeddings
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
29
142
0
07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
Neural Control Variates for Variance Reduction
Neural Control Variates for Variance Reduction
Ruosi Wan
Mingjun Zhong
Haoyi Xiong
Zhanxing Zhu
BDL
DRL
16
18
0
01 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning
Supervised Policy Update for Deep Reinforcement Learning
Q. Vuong
Yiming Zhang
Keith Ross
19
20
0
29 May 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
14
65
0
25 May 2018
Object-Oriented Dynamics Predictor
Object-Oriented Dynamics Predictor
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
AI4CE
24
36
0
25 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement
  Learning
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian
Aviv Tamar
Sarit Kraus
OffRL
32
11
0
20 May 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton
F. Witherden
A. Jameson
Mykel J. Kochenderfer
AI4CE
11
160
0
18 May 2018
Policy Optimization with Second-Order Advantage Information
Policy Optimization with Second-Order Advantage Information
Jiajin Li
Baoxiang Wang
22
6
0
09 May 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff
Peter Henderson
Alexandre Piché
Vincent François-Lavet
Joelle Pineau
6
42
0
09 May 2018
Vehicle Communication Strategies for Simulated Highway Driving
Vehicle Communication Strategies for Simulated Highway Driving
Cinjon Resnick
I. Kulikov
Kyunghyun Cho
Jason Weston
22
7
0
19 Apr 2018
An Adaptive Clipping Approach for Proximal Policy Optimization
An Adaptive Clipping Approach for Proximal Policy Optimization
Gang Chen
Yiming Peng
Mengjie Zhang
14
22
0
17 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLM
OffRL
15
177
0
10 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum
  Transfer Learning
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
Kun Shao
Yuanheng Zhu
Dongbin Zhao
107
170
0
03 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
26
87
0
02 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
21
60
0
31 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
29
20
0
19 Mar 2018
Feedback Control For Cassie With Deep Reinforcement Learning
Feedback Control For Cassie With Deep Reinforcement Learning
Zhaoming Xie
Glen Berseth
Patrick Clary
J. Hurst
M. van de Panne
27
174
0
15 Mar 2018
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