Provably efficient RL with Rich Observations via Latent State Decoding

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Provably efficient RL with Rich Observations via Latent State Decoding

25 January 2019

A. Krishnamurthy

Miroslav Dudík

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Papers citing "Provably efficient RL with Rich Observations via Latent State Decoding"

14 / 14 papers shown

Title
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 92 1 0 02 Mar 2025
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Alexander Levine Peter Stone Amy Zhang OffRL 81 0 0 03 Oct 2024
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 100 143 0 12 Mar 2020
Is Q-learning Provably Efficient? Chi Jin Zeyuan Allen-Zhu Sébastien Bubeck Michael I. Jordan OffRL 70 807 0 10 Jul 2018
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 77 333 0 11 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 111 2,439 0 15 May 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 623 0 03 Mar 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 74 291 0 28 Dec 2016
Reinforcement Learning in Rich-Observation MDPs using Spectral Methods Kamyar Azizzadenesheli A. Lazaric Anima Anandkumar 56 31 0 11 Nov 2016
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable Nan Jiang A. Krishnamurthy Alekh Agarwal John Langford Robert Schapire 147 420 0 29 Oct 2016
Reinforcement Learning of POMDPs using Spectral Methods Kamyar Azizzadenesheli A. Lazaric Anima Anandkumar 44 128 0 25 Feb 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,309 0 15 Feb 2016
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning R. Ortner Odalric-Ambrym Maillard D. Ryabko 143 27 0 12 May 2014
PAC Bounds for Discounted MDPs Tor Lattimore Marcus Hutter 94 189 0 17 Feb 2012

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