Distributional Policy Optimization: An Alternative Approach for Continuous Control

23 May 2019

Papers citing "Distributional Policy Optimization: An Alternative Approach for Continuous Control"

22 / 22 papers shown

Title
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 41 28 0 27 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 52 119 0 29 Jan 2019
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 70 1,865 0 01 Aug 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 51 87 0 14 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 67 529 0 14 Jun 2018
Nonlinear Distributional Gradient Temporal-Difference Learning Chao Qu Shie Mannor Huan Xu 40 12 0 20 May 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 217 497 0 08 Apr 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 68 446 0 28 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 139 5,121 0 26 Feb 2018
An Analysis of Categorical Distributional Reinforcement Learning Mark Rowland Marc G. Bellemare Will Dabney Rémi Munos Yee Whye Teh 41 101 0 22 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 199 8,236 0 04 Jan 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 72 756 0 27 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 69 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 208 18,685 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 435 129,831 0 12 Jun 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 67 1,523 0 10 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 62 1,329 0 27 Feb 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 368 8,999 0 10 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 52 510 0 05 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 186 13,174 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 214 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 237 6,722 0 19 Feb 2015