Exploration by Random Network Distillation

30 October 2018

Amos Storkey

Papers citing "Exploration by Random Network Distillation"

50 / 290 papers shown

Title
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 18 58 0 22 Sep 2021
Active inference, Bayesian optimal design, and expected utility Noor Sajid Lancelot Da Costa Thomas Parr Karl J. Friston 24 16 0 21 Sep 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 41 20 0 17 Sep 2021
Focus on Impact: Indoor Exploration with Intrinsic Motivation Roberto Bigazzi Federico Landi S. Cascianelli Lorenzo Baraldi Marcella Cornia Rita Cucchiara OffRL 29 13 0 14 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 127 0 14 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 36 93 0 14 Sep 2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods Xin Guo Anran Hu Junzi Zhang OffRL 28 6 0 13 Sep 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 40 22 0 26 Aug 2021
Imitation Learning by Reinforcement Learning K. Ciosek 22 18 0 10 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 2021
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning R. Loftin Aadirupa Saha Sam Devlin Katja Hofmann 30 5 0 30 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 42 104 0 23 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 149 3 0 13 Jul 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 40 8 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 51 51 0 11 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 31 36 0 08 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Z. Fountas Karl J. Friston 22 20 0 08 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 18 3 0 01 Jun 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 26 6 0 15 May 2021
Learning on a Budget via Teacher Imitation Ercüment Ilhan Jeremy Gow Diego Perez-Liebana OffRL 27 2 0 17 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 29 70 0 12 Apr 2021
BR-NS: an Archive-less Approach to Novelty Search Achkan Salehi Alexandre Coninx Stéphane Doncieux 28 6 0 08 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 24 17 0 10 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 38 25 0 24 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 516 0 04 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
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 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
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
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 16 105 0 12 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
TAMPC: A Controller for Escaping Traps in Novel Environments Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 28 7 0 23 Oct 2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning Shen Ren Qianxiao Li Liye Zhang Zheng Qin Bo Yang 26 0 0 22 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 36 5 0 07 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 53 190 0 25 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 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
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020