Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

30 January 2019

David Silver

Papers citing "Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement"

35 / 35 papers shown

Title
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 24 0 0 01 May 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 57 1 0 11 Nov 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 24 1 0 14 Aug 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 31 5 0 13 Jul 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 32 1 0 28 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 35 0 0 21 May 2023
Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments Hyunsung Lee 24 1 0 14 Apr 2023
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 22 0 0 07 Nov 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 29 8 0 15 Oct 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 27 3 0 07 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 38 19 0 09 Mar 2022
Successor Feature Neural Episodic Control David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 30 4 0 04 Nov 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 29 5 0 29 Oct 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 34 15 0 28 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 47 119 0 31 Aug 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 32 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 27 98 0 24 Jun 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 35 4 0 03 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 38 25 0 24 Feb 2021
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 18 34 0 27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
State2vec: Off-Policy Successor Features Approximators Sephora Madjiheurem Laura Toni OOD OffRL 11 5 0 22 Oct 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 17 18 0 05 Jul 2019
A neurally plausible model learns successor representations in partially observable environments Eszter Vértes M. Sahani 11 42 0 22 Jun 2019
Better transfer learning with inferred successor maps T. Madarász 9 21 0 18 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 19 7 0 26 Feb 2019
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning Lucas Lehnert Michael L. Littman 8 10 0 31 Jan 2019
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 212 0 20 Jun 2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation Craig Sherstan Marlos C. Machado P. Pilarski 22 10 0 23 Mar 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017