Exploration by Distributional Reinforcement Learning

4 May 2018

Papers citing "Exploration by Distributional Reinforcement Learning"

25 / 25 papers shown

Title
A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertainty Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis UD 23 2 0 05 Jan 2024
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion Taehyun Cho Seung Han Heesoo Lee Kyungjae Lee Jungwoo Lee 30 3 0 25 Oct 2023
DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption Yupeng Wu Wenjie Huang Chin Pang Ho OffRL 24 0 0 08 Oct 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 40 0 0 03 Aug 2023
Exploration via Epistemic Value Estimation Simon Schmitt John Shawe-Taylor Hado van Hasselt OffRL 16 1 0 07 Mar 2023
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 2022
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning Michael Teng M. van de Panne Frank D. Wood OOD OffRL 14 1 0 06 Feb 2022
Bayesian Distributional Policy Gradients Luchen Li A. Faisal BDL OffRL 26 9 0 20 Mar 2021
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning Hannes Eriksson D. Basu Mina Alibeigi Christos Dimitrakakis OffRL 18 18 0 22 Feb 2021
Weighted Entropy Modification for Soft Actor-Critic Yizhou Zhao Song-Chun Zhu 11 0 0 18 Nov 2020
A Study of Policy Gradient on a Class of Exactly Solvable Models Gavin McCracken Colin Daniels Rosie Zhao Anna M. Brandenberger Prakash Panangaden Doina Precup 14 0 0 03 Nov 2020
Amortized Variational Deep Q Network Haotian Zhang Yuhao Wang Jianyong Sun Zongben Xu BDL 20 0 0 03 Nov 2020
The Second Type of Uncertainty in Monte Carlo Tree Search Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker 12 3 0 19 May 2020
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning Xiaoteng Ma Li Xia Zhengyuan Zhou Jun Yang Qianchuan Zhao 24 17 0 30 Apr 2020
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning Hannes Eriksson Emilio Jorge Christos Dimitrakakis D. Basu Divya Grover OffRL 19 0 0 08 Feb 2020
Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang Li Zhao Zichuan Lin Tao Qin Jiang Bian Tie-Yan Liu OOD OffRL 18 135 0 05 Nov 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 22 95 0 23 May 2019
Distributional Reinforcement Learning for Efficient Exploration B. Mavrin Shangtong Zhang Hengshuai Yao Linglong Kong Kaiwen Wu Yaoliang Yu OOD OffRL 14 87 0 13 May 2019
Randomised Bayesian Least-Squares Policy Iteration Nikolaos Tziortziotis Christos Dimitrakakis Michalis Vazirgiannis OffRL 11 1 0 06 Apr 2019
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 29 68 0 18 Dec 2018
QUOTA: The Quantile Option Architecture for Reinforcement Learning Fengxiang Yang Zhun Zhong Zhiming Luo Sheng Lian Shaozi Li OffRL 16 29 0 05 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 21 177 0 29 Oct 2018
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN Dror Freirich Ron Meir Aviv Tamar OffRL 19 13 0 06 Aug 2018
The Potential of the Return Distribution for Exploration in RL Thomas M. Moerland Joost Broekens Catholijn M. Jonker 23 9 0 11 Jun 2018
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 10 0 30 Nov 2017