An Optimal Online Method of Selecting Source Policies for Reinforcement
Learning

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning

24 September 2017

Siyuan Li

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Papers citing "An Optimal Online Method of Selecting Source Policies for Reinforcement Learning"

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Title
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 143 0 0 08 Aug 2024
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning Lucas Lehnert Stefanie Tellex Michael L. Littman 41 49 0 31 Jul 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 88 269 0 08 Mar 2017
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 47 575 0 16 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,452 0 15 Jun 2016
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 88 599 0 19 Nov 2015
Bayesian Policy Reuse Benjamin Rosman Majd Hawasly S. Ramamoorthy OffRL 69 81 0 01 May 2015
Sample Complexity of Multi-task Reinforcement Learning Emma Brunskill Lihong Li 81 138 0 26 Sep 2013