Information-Directed Exploration for Deep Reinforcement Learning

Information-Directed Exploration for Deep Reinforcement Learning

18 December 2018

Nikolay Nikolov

Johannes Kirschner

Felix Berkenkamp

Papers citing "Information-Directed Exploration for Deep Reinforcement Learning"

16 / 16 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 140 0 0 14 Mar 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 35 2 0 17 Jan 2025
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control Zifan Liu Xinran Li Shibo Chen Gen Li Jiashuo Jiang Jun Zhang 33 0 0 26 Jun 2024
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 20 4 0 12 Jun 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 30 1 0 03 Mar 2023
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 19 16 0 16 May 2022
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 14 19 0 04 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 322 0 02 May 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 26 132 0 23 Feb 2022
The Value of Information When Deciding What to Learn Dilip Arumugam Benjamin Van Roy 16 12 0 26 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 30 92 0 14 Sep 2021
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference Toon Van de Maele Tim Verbelen Ozan Çatal Bart Dhoedt OCL 23 5 0 26 Aug 2021
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 19 70 0 06 Mar 2021
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 13 17 0 11 Mar 2019
The Potential of the Return Distribution for Exploration in RL Thomas M. Moerland Joost Broekens Catholijn M. Jonker 11 9 0 11 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015