Non-local Policy Optimization via Diversity-regularized Collaborative Exploration

14 June 2020

Papers citing "Non-local Policy Optimization via Diversity-regularized Collaborative Exploration"

35 / 35 papers shown

Title
Social Interpretable Reinforcement Learning Leonardo Lucio Custode Giovanni Iacca OffRL 193 2 0 27 Jan 2024
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye Zhao Liu Mingfei Sun Bei Shi P. Zhao ... Tengfei Shi Liang Wang Qiang Fu Wei Yang Lanxiao Huang 58 316 0 20 Dec 2019
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 62 154 0 28 Oct 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 65 68 0 25 Sep 2019
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies M. A. Masood Finale Doshi-Velez 37 51 0 31 May 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 47 44 0 23 May 2019
Learning Novel Policies For Tasks Yunbo Zhang Wenhao Yu Greg Turk 41 34 0 13 May 2019
Diverse Exploration via Conjugate Policies for Policy Gradient Methods Andrew Cohen Xingye Qiao Lei Yu E. Way Xiangrong Tong 44 9 0 10 Feb 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 226 1,608 0 07 Dec 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 157 1,332 0 30 Oct 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 69 704 0 13 Aug 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
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 172 5,187 0 26 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 99 1,085 0 16 Feb 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 59 124 0 13 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 215 1,600 0 05 Feb 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 77 37 0 09 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 307 8,352 0 04 Jan 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 63 347 0 18 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 496 19,065 0 20 Jul 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 79 895 0 30 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,485 0 07 Jun 2017
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 54 596 0 06 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 108 2,437 0 15 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 89 306 0 22 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 69 237 0 06 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 623 0 03 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 100 1,340 0 27 Feb 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 91 773 0 15 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 169 1,478 0 06 Jun 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,309 0 15 Feb 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 197 8,859 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 89 505 0 03 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 93 3,414 0 08 Jun 2015