rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

3 September 2019

Pieter Abbeel

Papers citing "rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch"

29 / 29 papers shown

Title
An Empirical Model of Large-Batch Training Sam McCandlish Jared Kaplan Dario Amodei OpenAI Dota Team 65 277 0 14 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 68 278 0 14 Dec 2018
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,425 0 13 Dec 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 56 139 0 01 Nov 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 129 532 0 14 Jun 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 86 480 0 23 Apr 2018
Accelerated Methods for Deep Reinforcement Learning Adam Stooke Pieter Abbeel OffRL OnRL 59 136 0 07 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 147 740 0 02 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 172 5,182 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 299 8,334 0 04 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 63 175 0 26 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 100 1,258 0 16 Dec 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,264 0 06 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 96 1,504 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,350 0 27 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 79 1,693 0 22 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 89 1,013 0 02 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 194 8,851 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 214 3,787 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,639 0 22 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 127 1,846 0 03 Oct 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 125 12,227 0 19 Dec 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 85 1,419 0 23 Nov 2012
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 112 3,006 0 19 Jul 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 191 2,273 0 28 Jun 2011