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Successor Features for Transfer in Reinforcement Learning

16 June 2016

David Silver

Papers citing "Successor Features for Transfer in Reinforcement Learning"

50 / 203 papers shown

Title
Actor-Critic based Improper Reinforcement Learning Mohammadi Zaki Avinash Mohan Aditya Gopalan Shie Mannor 79 3 0 19 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 74 44 0 14 Jul 2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 71 4 0 22 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
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 115 164 0 15 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 102 35 0 29 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 107 28 0 27 Apr 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Yi Wan Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad Sarath Chandar H. V. Seijen 94 12 0 25 Apr 2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation Parvin Malekzadeh Mohammad Salimibeni Ming Hou Arash Mohammadi Konstantinos N. Plataniotis 54 6 0 31 Mar 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang Erfan Miahi Martha White Marlos C. Machado Zaheer Abbas Raksha Kumaraswamy Vincent Liu Adam White 94 29 0 30 Mar 2022
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment Erik C. Johnson Eric Q. Nguyen B. Schreurs Chigozie Ewulum C. Ashcraft Neil Fendley Megan M. Baker Alexander New Gautam K. Vallabha 64 9 0 14 Mar 2022
Continual Auxiliary Task Learning Matt McLeod Chun-Ping Lo M. Schlegel Andrew Jacobsen Raksha Kumaraswamy Martha White Adam White CLL 60 9 0 22 Feb 2022
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning Seungchan Kim Neale Van Stralen Girish Chowdhary Huy T. Tran 34 0 0 15 Feb 2022
Transferred Q-learning Elynn Y. Chen Michael I. Jordan Sai Li OffRL OnRL 75 4 0 09 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 164 69 0 01 Feb 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions Anthony GX-Chen Veronica Chelu Blake A. Richards Joelle Pineau TTA 50 1 0 05 Jan 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning Ziyang Tang Yihao Feng Qiang Liu OffRL 43 1 0 01 Jan 2022
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates Safa Alver Doina Precup OffRL 59 17 0 30 Dec 2021
Improving Experience Replay with Successor Representation Yizhi Yuan M. Mattar 21 1 0 29 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 85 51 0 25 Nov 2021
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021) Peter Vamplew Benjamin J. Smith Johan Källström G. Ramos Roxana Rădulescu ... Fredrik Heintz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale LRM 55 68 0 25 Nov 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 74 32 0 18 Nov 2021
Successor Feature Neural Episodic Control David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 61 3 0 04 Nov 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 87 5 0 29 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 114 27 0 13 Oct 2021
Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado André Barreto Doina Precup Michael Bowling 101 42 0 12 Oct 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 86 102 0 14 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 110 122 0 31 Aug 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 81 22 0 26 Aug 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 152 66 0 08 Jul 2021
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 66 99 0 24 Jun 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation Scott Fujimoto David Meger Doina Precup 76 17 0 12 Jun 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning Chenyu Liu Yan Zhang Yi Shen Michael M. Zavlanos OffRL 52 6 0 07 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 84 47 0 05 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 74 27 0 04 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 87 38 0 03 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 21 0 02 Jun 2021
Return-based Scaling: Yet Another Normalisation Trick for Deep RL Tom Schaul Georg Ostrovski Iurii Kemaev Diana Borsa 48 19 0 11 May 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 148 118 0 28 Apr 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 119 15 0 23 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 83 153 0 15 Apr 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 133 50 0 23 Mar 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 91 342 0 17 Mar 2021
Learning robust driving policies without online exploration D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin Jun Luo OffRL 71 2 0 15 Mar 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 103 67 0 14 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks Jiafei Duan Samson Yu Tangyao Li Huaiyu Zhu Cheston Tan LM&Ro 118 296 0 08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 129 206 0 08 Mar 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies Kianté Brantley Soroush Mehri Geoffrey J. Gordon OffRL 85 11 0 03 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 138 4 0 03 Mar 2021
On The Effect of Auxiliary Tasks on Representation Dynamics Clare Lyle Mark Rowland Georg Ostrovski Will Dabney 78 70 0 25 Feb 2021