Self-Supervised Exploration via Disagreement

10 June 2019

Papers citing "Self-Supervised Exploration via Disagreement"

50 / 81 papers shown

Title
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 66 1 0 02 Feb 2025
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Myunsoo Kim Hayeong Lee Seong-Woong Shim JunHo Seo Byung-Jun Lee LLMAG 37 0 0 22 Jan 2025
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 121 0 0 11 Oct 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 40 4 0 07 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 32 0 0 29 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 35 1 0 20 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 21 0 0 19 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 32 0 0 02 Apr 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 47 4 0 29 Feb 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 47 18 0 22 Feb 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 31 1 0 16 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 27 1 0 30 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang Zhang-Wei Hong Eric Chen Akhilan Boopathy Pulkit Agrawal Ila Fiete CLL 31 5 0 26 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 26 1 0 12 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 34 0 0 26 Sep 2023
Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations Xiangpei Zhu Zixuan Chen Jianyu Chen 11 0 0 16 Sep 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 21 6 0 15 May 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 58 10 0 11 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 6 0 08 Feb 2023
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Marius Lindegaard Hjalmar Jacob Vinje Odin Severinsen 14 2 0 06 Feb 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 34 18 0 05 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 39 5 0 05 Jan 2023
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 21 0 23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 40 5 0 18 Nov 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 53 8 0 23 Oct 2022
Learning Active Camera for Multi-Object Navigation Peihao Chen Dongyu Ji Kun-Li Channing Lin Weiwen Hu Wenbing Huang Thomas H. Li Ming Tan Chuang Gan 25 24 0 14 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Y. Liu Gao Huang 28 12 0 13 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 16 0 0 05 Oct 2022
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning Firas Jarboui Ahmed Akakzia 14 0 0 26 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 29 35 0 19 Sep 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 25 0 0 24 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 18 8 0 04 Aug 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 26 18 0 16 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 67 0 16 Jun 2022
Minimax Optimal Online Imitation Learning via Replay Estimation Gokul Swamy Nived Rajaraman Matt Peng Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu Jiantao Jiao K. Ramchandran OffRL 22 18 0 30 May 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning Xinran Liang Katherine Shu Kimin Lee Pieter Abbeel 16 58 0 24 May 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning Chao Chen Zijian Gao Kele Xu Sen Yang Yiying Li Bo Ding Dawei Feng Huaimin Wang 120 5 0 21 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 28 4 0 20 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes Zheng Fang Biao Zhao Guizhong Liu 16 2 0 19 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 23 15 0 04 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 18 322 0 02 May 2022
Discovering Intrinsic Reward with Contrastive Random Walk Zixuan Pan Zihao Wei Yidong Huang Aditya Gupta 13 0 0 23 Apr 2022
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 24 67 0 08 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 16 116 0 25 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 12 9 0 24 Feb 2022
Uncertainty-driven Planner for Exploration and Navigation G. Georgakis Bernadette Bucher Anton Arapin Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 22 48 0 24 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 22 9 0 21 Feb 2022