Deep Exploration via Bootstrapped DQN

15 February 2016

Alexander Pritzel

Papers citing "Deep Exploration via Bootstrapped DQN"

50 / 288 papers shown

Title
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 29 149 0 28 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 69 51 0 17 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 27 31 0 26 Sep 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 29 100 0 23 Sep 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 32 178 0 09 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 27 139 0 01 Aug 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 43 74 0 18 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 43 185 0 06 Jul 2019
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 21 20 0 25 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Better transfer learning with inferred successor maps T. Madarász 25 21 0 18 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 29 10 0 17 Jun 2019
Interpretable Few-Shot Learning via Linear Distillation Arip Asadulaev Igor Kuznetsov Andrey Filchenkov FedML FAtt 11 1 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 35 375 0 10 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 71 1,662 0 06 Jun 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 35 96 0 23 May 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr Michael Volpp Marc Toussaint Sebastian Trimpe Christian Daniel OffRL 29 2 0 14 May 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 34 1 0 10 May 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark Gales UQCV 27 232 0 30 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 26 17 0 11 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien UQCV 30 24 0 08 Jan 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 36 294 0 06 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 18 32 0 06 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 25 8 0 26 Nov 2018
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization Bowen Cheng Yunchao Wei Jiahui Yu Shiyu Chang Jinjun Xiong Wen-mei W. Hwu Thomas S. Huang Humphrey Shi OOD VLM 38 6 0 23 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 15 72 0 21 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 21 73 0 05 Nov 2018
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 36 25 0 02 Nov 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation Matthew O'Kelly Aman Sinha Hongseok Namkoong John C. Duchi Russ Tedrake 14 213 0 31 Oct 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 30 178 0 29 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 29 533 0 19 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 37 169 0 10 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 32 160 0 02 Oct 2018
Neural Approaches to Conversational AI Jianfeng Gao Michel Galley Lihong Li 49 670 0 21 Sep 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 32 57 0 16 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 29 7 0 01 Jun 2018
Distilling Knowledge for Search-based Structured Prediction Yijia Liu Wanxiang Che Huaipeng Zhao Bing Qin Ting Liu 27 22 0 29 May 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018