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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
Zero-Shot Reinforcement Learning Under Partial Observability Scott Jeen Tom Bewley Jonathan M. Cullen OffRL 22 0 0 18 Jun 2025
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning Yihong Guo Yu Yang Pan Xu Anqi Liu OffRL 43 0 0 10 Jun 2025
Intention-Conditioned Flow Occupancy Models Chongyi Zheng S. Park Sergey Levine Benjamin Eysenbach AI4TS OffRL AI4CE 34 0 0 10 Jun 2025
Learning The Minimum Action Distance Lorenzo Steccanella Joshua B. Evans Özgür Simsek Anders Jonsson 23 0 0 10 Jun 2025
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer Ajsal Shereef Palattuparambil Thommen George Karimpanal Santu Rana OffRL 56 0 0 02 Jun 2025
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Michal Nauman Marek Cygan Carmelo Sferrazza Aviral Kumar Pieter Abbeel OffRL 96 0 0 29 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 53 0 0 01 May 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 200 1 0 08 Feb 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 78 0 0 08 Jan 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 179 0 0 04 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 185 1 0 03 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 141 2 0 11 Nov 2024
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots Peilin Wu Weiji Xie Jiahang Cao H. Lai Weinan Zhang 88 2 0 26 Sep 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 134 0 0 14 Aug 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 144 14 0 24 Jun 2024
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 99 2 0 27 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 144 12 0 06 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 111 13 0 27 Feb 2024
Natural Language Reinforcement Learning Xidong Feng Bo Liu Mengyue Yang Ziyan Wang Girish A. Koushiks Yali Du Ying Wen Jun Wang OffRL 102 5 0 11 Feb 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 114 5 0 30 Jan 2024
Successor Features for Efficient Multisubject Controlled Text Generation Mengyao Cao Mehdi Fatemi Jackie Chi Kit Cheung Samira Shabanian BDL 82 0 0 03 Nov 2023
Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Andre Saraiva Angelos Filos Andrew Kyle Lampinen Loic Matthey Richard L. Lewis Honglak Lee Satinder Singh Danilo Jimenez Rezende Daniel Zoran 78 4 0 24 Oct 2023
Learning Successor Features with Distributed Hebbian Temporal Memory E. Dzhivelikian Petr Kuderov Aleksandr I. Panov 65 0 0 20 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 92 1 0 16 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 88 4 0 26 Sep 2023
Bootstrapped Representations in Reinforcement Learning Charline Le Lan Stephen Tu Mark Rowland Anna Harutyunyan Rishabh Agarwal Marc G. Bellemare Will Dabney OffRL OOD SSL 136 10 0 16 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 66 1 0 15 Jun 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 108 1 0 31 May 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer Zhihui Xie Zichuan Lin Deheng Ye Qiang Fu Wei Yang Shuai Li OffRL OnRL 92 23 0 26 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 83 0 0 21 May 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 70 5 0 31 Mar 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased Chao Yu Jiaxuan Gao Weiling Liu Bo Xu Hao Tang Jiaqi Yang Yu Wang Yi Wu 109 42 0 03 Feb 2023
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization L. N. Alegre A. Bazzan D. Roijers Ann Nowé Bruno C. da Silva 80 30 0 18 Jan 2023
Language-Informed Transfer Learning for Embodied Household Activities Yuqian Jiang Qiaozi Gao Govind Thattai Gaurav Sukhatme LM&Ro 52 1 0 12 Jan 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 61 0 0 18 Dec 2022
Latent Variable Representation for Reinforcement Learning Zhaolin Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 102 10 0 17 Dec 2022
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning Tuan-Duong Trinh Haoyu Chen Daniel S. Brown OffRL 72 8 0 28 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun Luo 49 0 0 13 Nov 2022
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization Burcu Küçükoglu Walraaf Borkent Bodo Rueckauer Nasir Ahmad Umut Güçlü Marcel van Gerven 98 2 0 11 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 81 23 0 08 Nov 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 72 6 0 22 Oct 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 86 8 0 15 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 73 5 0 14 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
Temporally Extended Successor Representations Matthew J. Sargent Peter J Bentley Caswell Barry W. D. Cothi 50 1 0 25 Sep 2022
Towards Task-Prioritized Policy Composition Finn Rietz Erik Schaffernicht Todor Stoyanov J. A. Stork 36 0 0 20 Sep 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
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Marwa Abdulhai Natasha Jaques Sergey Levine OffRL 54 6 0 09 Aug 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 76 3 0 29 Jul 2022