Never Give Up: Learning Directed Exploration Strategies

14 February 2020

Adria Puigdomenech Badia

Bilal Piot

Alexander Pritzel

Papers citing "Never Give Up: Learning Directed Exploration Strategies"

28 / 78 papers shown

Title
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 40 0 0 15 Jan 2022
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 18 82 0 22 Nov 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 64 55 0 28 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 93 0 14 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 52 119 0 31 Aug 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 40 22 0 26 Aug 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 42 8 0 12 Jul 2021
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning Changnan Xiao Haosen Shi Jiajun Fan Shihong Deng 26 5 0 01 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 24 3 0 01 Jun 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 26 38 0 13 May 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chao Huang Zhongxu Hu Peng Hang Yang Xing Chen Lv 42 41 0 15 Apr 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 46 195 0 08 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 43 25 0 24 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 29 13 0 23 Jan 2021
Learn Dynamic-Aware State Embedding for Transfer Learning Kaige Yang 18 1 0 06 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Policy Manifold Search for Improving Diversity-based Neuroevolution Nemanja Rakićević Antoine Cully Petar Kormushev 29 0 0 15 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 31 25 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 35 43 0 28 Sep 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 19 31 0 01 Jul 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 34 0 02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 45 140 0 30 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 29 510 0 30 Mar 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 88 1,236 0 30 Nov 2018