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Deep Exploration via Randomized Value Functions

22 March 2017

Papers citing "Deep Exploration via Randomized Value Functions"

46 / 46 papers shown

Title
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 490 2 0 14 Mar 2025
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 230 3 0 18 Jul 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 193 2 0 13 Jun 2024
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 100 1 0 14 Nov 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya Branislav Kveton A. Rangi OffRL 191 0 0 01 Feb 2023
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 104 77 0 02 Jul 2022
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 50 84 0 12 Aug 2020
Worst-Case Regret Bounds for Exploration via Randomized Value Functions Daniel Russo OffRL 48 88 0 07 Jun 2019
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 76 380 0 08 Jun 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 69 124 0 13 Feb 2018
Efficient Exploration through Bayesian Deep Q-Networks Kamyar Azizzadenesheli Anima Anandkumar OffRL BDL 79 163 0 13 Feb 2018
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 78 172 0 15 Nov 2017
The Uncertainty Bellman Equation and Exploration Brendan O'Donoghue Ian Osband Rémi Munos Volodymyr Mnih 70 192 0 15 Sep 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 101 1,506 0 21 Jul 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 79 897 0 30 Jun 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 210 1,225 0 26 Jun 2017
Ensemble Sampling Xiuyuan Lu Benjamin Van Roy 129 121 0 20 May 2017
Minimax Regret Bounds for Reinforcement Learning M. G. Azar Ian Osband Rémi Munos 92 778 0 16 Mar 2017
Gaussian-Dirichlet Posterior Dominance in Sequential Learning Ian Osband Benjamin Van Roy 41 9 0 14 Feb 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 106 775 0 15 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,636 0 10 Nov 2016
On Lower Bounds for Regret in Reinforcement Learning Ian Osband Benjamin Van Roy 83 101 0 09 Aug 2016
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 85 261 0 01 Jul 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 617 0 08 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 179 1,483 0 06 Jun 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,313 0 15 Feb 2016
Angrier Birds: Bayesian reinforcement learning Imanol Arrieta-Ibarra Bernardo Ramos Lars Roemheld 33 1 0 06 Jan 2016
State of the Art Control of Atari Games Using Shallow Reinforcement Learning Yitao Liang Marlos C. Machado Erik Talvitie Michael Bowling 72 113 0 04 Dec 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 52 192 0 16 Nov 2015
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning Christoph Dann Emma Brunskill 74 249 0 29 Oct 2015
Bootstrapped Thompson Sampling and Deep Exploration Ian Osband Benjamin Van Roy 162 105 0 01 Jul 2015
Model-based Reinforcement Learning and the Eluder Dimension Ian Osband Benjamin Van Roy 92 190 0 07 Jun 2014
Learning to Optimize via Information-Directed Sampling Daniel Russo Benjamin Van Roy 163 284 0 21 Mar 2014
Near-optimal Reinforcement Learning in Factored MDPs Ian Osband Benjamin Van Roy 99 124 0 15 Mar 2014
Generalization and Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Zheng Wen 91 314 0 04 Feb 2014
The Sample-Complexity of General Reinforcement Learning Tor Lattimore Marcus Hutter P. Sunehag VLM 80 67 0 22 Aug 2013
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 131 535 0 04 Jun 2013
Regret Bounds for Reinforcement Learning with Policy Advice M. G. Azar A. Lazaric Emma Brunskill 94 36 0 05 May 2013
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems M. Ibrahimi Adel Javanmard Benjamin Van Roy 89 91 0 24 Mar 2013
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning R. Ortner D. Ryabko OffRL 102 85 0 11 Feb 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 203 703 0 11 Jan 2013
Further Optimal Regret Bounds for Thompson Sampling Shipra Agrawal Navin Goyal 110 442 0 15 Sep 2012
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 204 1,006 0 15 Sep 2012
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs Peter L. Bartlett Ambuj Tewari 93 286 0 09 May 2012
Bootstrapping data arrays of arbitrary order Art B. Owen Dean Eckles 87 39 0 10 Jun 2011