CoachNet: An Adversarial Sampling Approach for Reinforcement Learning

7 January 2021

Papers citing "CoachNet: An Adversarial Sampling Approach for Reinforcement Learning"

10 / 10 papers shown

Title
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 68 48 0 19 Feb 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 156 1,884 0 01 Aug 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 314 8,396 0 04 Jan 2018
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,449 0 15 May 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 101 860 0 08 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 110 1,342 0 27 Feb 2017
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,658 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,272 0 09 Sep 2015
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis E. Kaufmann N. Korda Rémi Munos 162 588 0 18 May 2012