Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning

21 December 2019

Furong Huang

Papers citing "Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning"

21 / 21 papers shown

Title
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 74 549 0 11 Jul 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 50 284 0 24 May 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features Lin F. Yang Mengdi Wang VLM 20 14 0 13 Feb 2019
Policy Certificates: Towards Accountable Reinforcement Learning Christoph Dann Ashutosh Adhikari Wei Wei Jimmy J. Lin OffRL 94 142 0 07 Nov 2018
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains Yaqi Duan Mengdi Wang Zaiwen Wen Ya-Xiang Yuan 10 7 0 14 Oct 2018
Estimation of Markov Chain via Rank-Constrained Likelihood Xudong Li Mengdi Wang Anru R. Zhang 37 18 0 03 Apr 2018
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 57 307 0 22 Mar 2017
Matrix Completion from $O(n)$ Samples in Linear Time D. Gamarnik Quan Li Hongyi Zhang 99 22 0 08 Feb 2017
Reinforcement Learning in Rich-Observation MDPs using Spectral Methods Kamyar Azizzadenesheli A. Lazaric Anima Anandkumar 41 30 0 11 Nov 2016
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable Nan Jiang A. Krishnamurthy Alekh Agarwal John Langford Robert Schapire 76 417 0 29 Oct 2016
Reinforcement Learning of POMDPs using Spectral Methods Kamyar Azizzadenesheli A. Lazaric Anima Anandkumar 22 127 0 25 Feb 2016
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning Christoph Dann Emma Brunskill 34 249 0 29 Oct 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 125 7,590 0 22 Sep 2015
Value function approximation via low-rank models H. Ong OffRL 71 20 0 31 Aug 2015
Incoherence-Optimal Matrix Completion Yudong Chen 89 205 0 01 Oct 2013
Sample Complexity of Multi-task Reinforcement Learning Emma Brunskill Lihong Li 53 138 0 26 Sep 2013
Sequential Transfer in Multi-armed Bandit with Finite Set of Models M. G. Azar A. Lazaric Emma Brunskill OffRL 90 114 0 25 Jul 2013
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 240 1,142 0 29 Oct 2012
Incremental Model-based Learners With Formal Learning-Time Guarantees Alexander L. Strehl Lihong Li Michael L. Littman 56 61 0 27 Jun 2012
Closing the Learning-Planning Loop with Predictive State Representations Byron Boots S. Siddiqi Geoffrey J. Gordon 184 264 0 12 Dec 2009
Matrix Completion from Noisy Entries Raghunandan H. Keshavan Andrea Montanari Sewoong Oh 134 718 0 11 Jun 2009