Universal Successor Features Approximators

18 December 2018

David Silver

Papers citing "Universal Successor Features Approximators"

50 / 83 papers shown

Title
A Unified Framework for Zero-Shot Reinforcement Learning Jacopo Di Ventura Jan Felix Kleuker Aske Plaat Thomas M. Moerland OffRL 80 0 0 23 Oct 2025
Towards Robust Zero-Shot Reinforcement Learning Kexin Zheng Lauriane Teyssier Yinan Zheng Yu Luo Xiayuan Zhan OffRL 323 0 0 17 Oct 2025
Adaptive Policy Backbone via Shared Network Bumgeun Park Donghwan Lee OffRL OnRL 156 0 0 26 Sep 2025
Robust Reinforcement Learning over Wireless Networks with Homomorphic State Representations Pietro Talli Federico Mason Federico Chiariotti Andrea Zanella OffRL 94 0 0 11 Aug 2025
Zero-Shot Reinforcement Learning Under Partial Observability Scott Jeen Tom Bewley Jonathan M. Cullen OffRL 161 1 0 18 Jun 2025
Intention-Conditioned Flow Occupancy Models Chongyi Zheng S. Park Sergey Levine Benjamin Eysenbach AI4TS OffRL AI4CE 260 2 0 10 Jun 2025
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer Ajsal Shereef Palattuparambil Thommen George Karimpanal Santu Rana OffRL 243 0 0 02 Jun 2025
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics Maksim Bobrin Ilya Zisman Alexander Nikulin Vladislav Kurenkov Dmitry V. Dylov OffRL 179 2 0 19 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 212 1 0 01 May 2025
Capturing Individual Human Preferences with Reward Features André Barreto Vincent Dumoulin Yiran Mao Nicolas Perez-Nieves Bobak Shahriari Yann Dauphin Doina Precup Hugo Larochelle ALM 222 4 0 21 Mar 2025
Temporal Difference Flows Jesse Farebrother Matteo Pirotta Andrea Tirinzoni Rémi Munos A. Lazaric Ahmed Touati AI4TS AIFin 368 5 0 12 Mar 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 479 1 0 04 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature MatchingInternational Conference on Learning Representations (ICLR), 2024 A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 318 6 0 11 Nov 2024
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning Ian Cannon Washington Garcia Thomas Gresavage Joseph Saurine Ian Leong Jared Culbertson OffRL 131 1 0 06 Sep 2024
Learning Goal-Conditioned Representations for Language Reward Models Vaskar Nath Dylan Slack Jeff Da Yuntao Ma Hugh Zhang Spencer Whitehead Sean Hendryx 170 0 0 18 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 199 1 0 14 Jun 2024
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor FeaturesIEEE International Joint Conference on Neural Network (IJCNN), 2024 JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 179 0 0 04 May 2024
Demonstration Guided Multi-Objective Reinforcement Learning Junlin Lu Patrick Mannion Karl Mason 147 1 0 05 Apr 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features CriticsInternational Conference on Machine Learning (ICML), 2024 Luca Grillotti Maxence Faldor Borja G. León Antoine Cully 334 11 0 15 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 256 18 0 27 Feb 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 351 49 0 23 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 277 7 0 20 Feb 2024
A Distributional Analogue to the Successor Representation Harley Wiltzer Jesse Farebrother Arthur Gretton Yunhao Tang André Barreto Will Dabney Marc G. Bellemare Mark Rowland 302 8 0 13 Feb 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 361 12 0 30 Jan 2024
Successor Features for Efficient Multisubject Controlled Text Generation Mengyao Cao Mehdi Fatemi Jackie Chi Kit Cheung Samira Shabanian BDL 136 0 0 03 Nov 2023
Combining Behaviors with the Successor Features KeyboardNeural Information Processing Systems (NeurIPS), 2023 Wilka Carvalho Andre Saraiva Angelos Filos Andrew Kyle Lampinen Loic Matthey Richard L. Lewis Honglak Lee Satinder Singh Danilo Jimenez Rezende Daniel Zoran 208 7 0 24 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality DataNeural Information Processing Systems (NeurIPS), 2023 Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 260 12 0 26 Sep 2023
Maximum State Entropy Exploration using Predecessor and Successor RepresentationsNeural Information Processing Systems (NeurIPS), 2023 A. Jain Lucas Lehnert Irina Rish Glen Berseth 201 19 0 26 Jun 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?International Conference on Machine Learning (ICML), 2023 Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 197 33 0 30 May 2023
On the Value of Myopic Behavior in Policy ReuseIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kang Xu Chenjia Bai Delin Qu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 164 2 0 28 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 290 1 0 21 May 2023
Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments Hyunsung Lee 159 1 0 14 Apr 2023
Reinforcement Learning from Passive Data via Latent IntentionsInternational Conference on Machine Learning (ICML), 2023 Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 219 59 0 10 Apr 2023
Composing Task Knowledge with Modular Successor Feature ApproximatorsInternational Conference on Learning Representations (ICLR), 2023 Wilka Carvalho Angelos Filos Richard L. Lewis Honglak Lee Satinder Singh 155 8 0 28 Jan 2023
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement PrioritizationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 L. N. Alegre A. Bazzan D. Roijers Ann Nowé Bruno C. da Silva 240 45 0 18 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 165 0 0 18 Dec 2022
Hypernetworks for Zero-shot Transfer in Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek David Meger OffRL 202 19 0 28 Nov 2022
ASPiRe:Adaptive Skill Priors for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Mengda Xu Manuela Veloso Shuran Song CLL OffRL 156 13 0 30 Sep 2022
Does Zero-Shot Reinforcement Learning Exist?International Conference on Learning Representations (ICLR), 2022 Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 277 58 0 29 Sep 2022
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning B. Liu Yihao Feng Qian Liu Peter Stone 238 8 0 17 Aug 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Marwa Abdulhai Natasha Jaques Sergey Levine OffRL 125 5 0 09 Aug 2022
Value Function Decomposition for Iterative Design of Reinforcement Learning AgentsNeural Information Processing Systems (NeurIPS), 2022 J. MacGlashan Evan Archer A. Devlic Takuma Seno Craig Sherstan Peter R. Wurman AI PeterStoneSony 122 8 0 24 Jun 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferInternational Conference on Machine Learning (ICML), 2022 L. N. Alegre A. Bazzan Bruno C. da Silva 134 31 0 22 Jun 2022
Generalised Policy Improvement with Geometric Policy CompositionInternational Conference on Machine Learning (ICML), 2022 S. Thakoor Mark Rowland Diana Borsa Will Dabney Rémi Munos André Barreto OffRL 152 10 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 287 210 0 15 Jun 2022
Task Relabelling for Multi-task Transfer using Successor Features Martin Balla Diego Perez-Liebana 103 2 0 20 May 2022
Bilinear value networks Zhang-Wei Hong Ge Yang Pulkit Agrawal OffRL 235 10 0 28 Apr 2022
Continual Auxiliary Task LearningNeural Information Processing Systems (NeurIPS), 2022 Matt McLeod Chun-Ping Lo M. Schlegel Andrew Jacobsen Raksha Kumaraswamy Martha White Adam White CLL 126 9 0 22 Feb 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature PredictionsAAAI Conference on Artificial Intelligence (AAAI), 2022 Anthony GX-Chen Veronica Chelu Blake A. Richards Joelle Pineau TTA 146 1 0 05 Jan 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning Ziyang Tang Yihao Feng Qiang Liu OffRL 185 1 0 01 Jan 2022

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Universal Successor Features Approximators

Papers citing "Universal Successor Features Approximators"