v1v2 (latest)

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
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 81 22 0 24 Feb 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 79 26 0 24 Feb 2021
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning I. Sledge Darshan W. Bryner José C. Príncipe 102 1 0 24 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 49 17 0 10 Feb 2021
Discovering a set of policies for the worst case reward Tom Zahavy André Barreto D. Mankowitz Shaobo Hou Brendan O'Donoghue Iurii Kemaev Satinder Singh OffRL 61 23 0 08 Feb 2021
Learn Dynamic-Aware State Embedding for Transfer Learning Kaige Yang 54 1 0 06 Jan 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning D. Graves Jun Jin Jun Luo 80 2 0 29 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 154 95 0 17 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 88 65 0 17 Dec 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 85 71 0 17 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 79 35 0 27 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 120 50 0 06 Oct 2020
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution Vihang Patil M. Hofmarcher Marius-Constantin Dinu Matthias Dorfer P. Blies Johannes Brandstetter Jose A. Arjona-Medina Sepp Hochreiter 134 44 0 29 Sep 2020
Latent Representation Prediction Networks Hlynur Davíð Hlynsson Merlin Schuler Robin Schiewer Tobias Glasmachers Laurenz Wiskott 34 1 0 20 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 138 604 0 16 Sep 2020
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms Dongjae Kim J. Lee J. Shin M. Yang Sang Wan Lee OffRL 25 2 0 09 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 97 176 0 07 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 117 49 0 30 Jun 2020
Learning predictive representations in autonomous driving to improve deep reinforcement learning D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin SSL 80 12 0 26 Jun 2020
Rinascimento: using event-value functions for playing Splendor Ivan Bravi Simon Lucas 72 2 0 10 Jun 2020
Bayesian Experience Reuse for Learning from Multiple Demonstrators Michael Gimelfarb Scott Sanner Chi-Guhn Lee 30 0 0 10 Jun 2020
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning Will Dabney André Barreto Mark Rowland Robert Dadashi John Quan Marc G. Bellemare David Silver 84 67 0 03 Jun 2020
Time-Variant Variational Transfer for Value Functions Giuseppe Canonaco Andrea Soprani M. Roveri Marcello Restelli OOD 76 0 0 26 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 75 19 0 13 May 2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks Haonan Chang Zhuo Xu Masayoshi Tomizuka 38 7 0 07 May 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 91 26 0 06 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 106 521 0 30 Mar 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 128 144 0 12 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 77 43 0 03 Mar 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 60 37 0 26 Feb 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 67 70 0 26 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 127 102 0 21 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 101 156 0 10 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 59 37 0 08 Feb 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 96 55 0 06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio OffRL 58 26 0 05 Jan 2020
Deep Bayesian Reward Learning from Preferences Daniel S. Brown S. Niekum BDL 89 34 0 10 Dec 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 69 14 0 25 Nov 2019
Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan Shibhansh Dohare J. MacGlashan J. Günther P. Pilarski 92 12 0 18 Nov 2019
State2vec: Off-Policy Successor Features Approximators Sephora Madjiheurem Laura Toni OOD OffRL 41 5 0 22 Oct 2019
Federated Transfer Reinforcement Learning for Autonomous Driving Xinle Liang Yang Liu Tianjian Chen Ming-Yuan Liu Qiang Yang 62 115 0 14 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 80 41 0 09 Oct 2019
Probabilistic Successor Representations with Kalman Temporal Differences J. Geerts Kimberly L. Stachenfeld Neil Burgess 51 13 0 06 Oct 2019
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance Qingyang Tan Tingxiang Fan Jia Pan Tianyi Zhou 105 24 0 04 Oct 2019
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning Thommen George Karimpanal Santu Rana Sunil R. Gupta T. Tran Svetha Venkatesh OffRL OnRL 64 10 0 10 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 78 53 0 25 Aug 2019
VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation Shamane Siriwardhana Rivindu Weerasekera Denys J. C. Matthies Suranga Nanayakkara 39 8 0 18 Aug 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier Matthieu Geist Olivier Pietquin OffRL 86 6 0 18 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 144 18 0 05 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 84 18 0 01 Jul 2019