Deep Exploration via Bootstrapped DQN

15 February 2016

Alexander Pritzel

Papers citing "Deep Exploration via Bootstrapped DQN"

50 / 288 papers shown

Title
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization Yangyang Zhao Zhenyu Wang Mehdi Dastani Shihan Wang 24 0 0 05 May 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan Ali H. Sayed 42 1 0 19 Apr 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 33 3 0 13 Mar 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 38 14 0 24 Feb 2023
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition Elliot Fosong Arrasy Rahman Ignacio Carlucho Stefano V. Albrecht 35 5 0 09 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z. Leibo 26 2 0 02 Feb 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 43 5 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 30 4 0 29 Jan 2023
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 48 6 0 19 Dec 2022
Faithful Heteroscedastic Regression with Neural Networks Andrew Stirn H. Wessels Megan D. Schertzer L. Pereira Neville E. Sanjana David A. Knowles UQCV 30 14 0 18 Dec 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin Vladislav Kurenkov Denis Tarasov Dmitry Akimov Sergey Kolesnikov OffRL 41 14 0 20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 50 5 0 18 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization Yunfan Zhou Xijun Li Qingyu Qu OffRL 27 1 0 15 Nov 2022
Controlling Commercial Cooling Systems Using Reinforcement Learning Jerry Luo Cosmin Paduraru Octavian Voicu Yuri Chervonyi Scott A. Munns ... Sims Witherspoon D. Parish Peter Dolan Chenyu Zhao D. Mankowitz OffRL AI4CE 28 25 0 11 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 31 4 0 30 Oct 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 32 3 0 30 Oct 2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking Julius Ott Lorenzo Servadei Gianfranco Mauro Thomas Stadelmayer Avik Santra Robert Wille OOD UQCV 39 3 0 26 Oct 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning Yi Zhao Rinu Boney Alexander Ilin Arno Solin Joni Pajarinen OffRL OnRL 28 39 0 25 Oct 2022
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly Yuhang Gai Jiwen Zhang Dan Wu Ken Chen OffRL 32 1 0 24 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 39 22 0 22 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
Deep Active Ensemble Sampling For Image Classification S. Mohamadi Gianfranco Doretto Donald Adjeroh UQCV 21 9 0 11 Oct 2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim J. M. Buhmann UQCV 16 1 0 07 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory Viraj Mehta I. Char J. Abbate R. Conlin M. Boyer Stefano Ermon J. Schneider Willie Neiswanger OffRL 29 6 0 06 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 40 0 0 05 Oct 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training Gang Chen Victoria Huang OffRL 45 0 0 29 Sep 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 21 3 0 19 Sep 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang Yaosheng Xu Stephen Marcus McAleer Dailin Hu Alexander Ihler Pieter Abbeel Roy Fox OOD 29 16 0 16 Sep 2022
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 23 33 0 23 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space Yining Chen Ke Wang Guang-hua Song Xiaohong Jiang 28 3 0 23 Aug 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 30 18 0 16 Jun 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal Tong Zhang 50 22 0 15 Jun 2022
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping Vikranth Dwaracherla Zheng Wen Ian Osband Xiuyuan Lu S. Asghari Benjamin Van Roy UQCV 32 18 0 08 Jun 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning Xinran Liang Katherine Shu Kimin Lee Pieter Abbeel 23 58 0 24 May 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses D. Tiapkin Denis Belomestny Eric Moulines A. Naumov S. Samsonov Yunhao Tang Michal Valko Pierre Menard 34 17 0 16 May 2022
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 24 19 0 04 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 31 324 0 02 May 2022
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects Yujie Lu Jianren Wang Vikash Kumar 31 4 0 31 Mar 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu E. Kampen Guido de Croon 39 16 0 28 Mar 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects K. Graczyk J. Pawlowski Sylwia Majchrowska Tomasz Golan 28 9 0 15 Mar 2022
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling Subhojyoti Mukherjee Josiah P. Hanna Robert D. Nowak OffRL 29 12 0 09 Mar 2022
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors Yibo Yang Georgios Kissas P. Perdikaris BDL UQCV 40 40 0 06 Mar 2022
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 34 21 0 02 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 45 132 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 24 9 0 21 Feb 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 31 15 0 15 Feb 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang Henry Lam A. Meisami Haofeng Zhang 38 4 0 31 Jan 2022