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Diversity is All You Need: Learning Skills without a Reward Function

16 February 2018

Abhishek Gupta

Papers citing "Diversity is All You Need: Learning Skills without a Reward Function"

50 / 414 papers shown

Title
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 119 25 0 23 Nov 2022
Discovering Unsupervised Behaviours from Full-State Trajectories Luca Grillotti Antoine Cully 90 1 0 22 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 93 9 0 14 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun Luo 49 0 0 13 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 70 9 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 54 0 0 11 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 72 9 0 09 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 87 23 0 08 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 106 10 0 02 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 75 4 0 28 Oct 2022
Leveraging Demonstrations with Latent Space Priors Jonas Gehring Deepak Gopinath Jungdam Won Andreas Krause Gabriel Synnaeve Nicolas Usunier 72 6 0 26 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 112 10 0 23 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Bryan Lim Antoine Cully 63 13 0 18 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 73 5 0 14 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 76 23 0 13 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yang Liu Gao Huang 68 13 0 13 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 113 25 0 06 Oct 2022
ASPiRe:Adaptive Skill Priors for Reinforcement Learning Mengda Xu Manuela Veloso Shuran Song CLL OffRL 92 11 0 30 Sep 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 116 46 0 29 Sep 2022
Learning GFlowNets from partial episodes for improved convergence and stability Kanika Madan Jarrid Rector-Brooks Maksym Korablyov Emmanuel Bengio Moksh Jain A. Nica Tom Bosc Yoshua Bengio Nikolay Malkin 100 102 0 26 Sep 2022
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills Tong Zhou Letian Wang Ruobing Chen Wenshuo Wang Y. Liu 79 13 0 24 Sep 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations Letian Chen Sravan Jayanthi Rohan R. Paleja Daniel Martin Viacheslav Zakharov Matthew C. Gombolay 131 16 0 24 Sep 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 97 0 0 23 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 96 37 0 19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions Chenhao Li Sebastian Blaes Pavel Kolev Marin Vlastelica Jonas Frey Georg Martius SSL 126 31 0 16 Sep 2022
MO2: Model-Based Offline Options Sasha Salter Markus Wulfmeier Dhruva Tirumala N. Heess Martin Riedmiller R. Hadsell Dushyant Rao OffRL 76 13 0 05 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandrea 86 2 0 31 Aug 2022
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning Zijian Gao Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 105 1 0 24 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 75 0 0 24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Zhaolin Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 98 29 0 19 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement learning Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 94 78 0 18 Aug 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations Xufeng Zhao C. Weber Muhammad Burhan Hafez S. Wermter 64 9 0 04 Aug 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 108 46 0 15 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 97 10 0 11 Jul 2022
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 81 9 0 28 Jun 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer L. N. Alegre A. Bazzan Bruno C. da Silva 82 28 0 22 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 105 66 0 21 Jun 2022
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology Brandon Trabucco Mariano Phielipp Glen Berseth 76 28 0 17 Jun 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 74 10 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 117 164 0 15 Jun 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 83 95 0 08 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 115 6 0 07 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks Andrew C. Li Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith OffRL LRM 39 4 0 03 Jun 2022
Uniqueness and Complexity of Inverse MDP Models Marcus Hutter Steven Hansen 75 5 0 02 Jun 2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble Fan Luo Xingchen Cao Rong-Jun Qin Yang Yu 106 3 0 01 Jun 2022
Non-Markovian policies occupancy measures Romain Laroche Rémi Tachet des Combes Jacob Buckman OffRL 84 1 0 27 May 2022
Toward Discovering Options that Achieve Faster Planning Yi Wan R. Sutton 55 5 0 25 May 2022
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization S. Reddy Sergey Levine Anca Dragan SSL 73 13 0 24 May 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 92 8 0 14 May 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma Rehaan Ahmad Chelsea Finn OOD OffRL 76 21 0 11 May 2022