Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,146 papers shown

Title
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 19 61 0 10 Jul 2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems M. Lutter Kim D. Listmann Jan Peters PINN 26 71 0 10 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 10 93 0 08 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 33 139 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 Jul 2019
Reasoning and Generalization in RL: A Tool Use Perspective Sam Wenke D. Saunders Mike Qiu J. Fleming OffRL LRM 29 5 0 03 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 24 16 0 02 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke Matthieu Geist 24 2 0 02 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 35 248 0 29 Jun 2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction Sammy Christen Stefan Stevšić Otmar Hilliges 35 24 0 27 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 22 41 0 27 Jun 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 29 88 0 27 Jun 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 24 47 0 25 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 30 108 0 25 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 36 71 0 24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 29 36 0 22 Jun 2019
Entropic Risk Measure in Policy Search David Nass Boris Belousov Jan Peters 32 27 0 21 Jun 2019
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks Roberto Martín-Martín Michelle A. Lee Rachel Gardner Silvio Savarese Jeannette Bohg Animesh Garg 33 194 0 20 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 46 148 0 20 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 14 194 0 19 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse F. Torabi Josiah P. Hanna Garrett A. Warnell Peter Stone 32 33 0 18 Jun 2019
Is the Policy Gradient a Gradient? Chris Nota Philip S. Thomas 8 57 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 35 10 0 17 Jun 2019
Reinforcement Learning Driven Heuristic Optimization Qingpeng Cai W. Hang Azalia Mirhoseini George Tucker Jingtao Wang Wei Wei 33 26 0 16 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 72 0 13 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 18 315 0 13 Jun 2019
Curriculum Learning for Cumulative Return Maximization Francesco Foglino Christiano Coletto Christakou Ricardo Luna Gutierrez Matteo Leonetti 34 9 0 13 Jun 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 28 110 0 12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 37 287 0 12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 49 151 0 12 Jun 2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang ObjD 31 192 0 11 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 19 5 0 11 Jun 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 36 38 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 40 86 0 10 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 40 375 0 10 Jun 2019
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains Matthieu Zimmer Paul Weng 24 7 0 10 Jun 2019
Ego-Pose Estimation and Forecasting as Real-Time PD Control Ye Yuan Kris Kitani EgoV 33 123 0 07 Jun 2019
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 44 186 0 05 Jun 2019
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization Xingyou Song Yilun Du Jacob Jackson AI4CE 29 8 0 02 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan Behzad Boroujerdian William Fu Aleksandra Faust Vijay Janapa Reddi 33 36 0 02 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kai Zhang Zhuoran Yang Tamer Basar 37 125 0 31 May 2019