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Randomized Value Functions via Multiplicative Normalizing Flows

6 June 2018

Pascal Vincent

Papers citing "Randomized Value Functions via Multiplicative Normalizing Flows"

22 / 22 papers shown

Title
Trust-MARL: Trust-Based Multi-Agent Reinforcement Learning Framework for Cooperative On-Ramp Merging Control in Heterogeneous Traffic Flow Jie Pan Tianyi Wang Christian Claudel Jing Shi 7 0 0 14 Jun 2025
Learning Uncertainty-Aware Temporally-Extended Actions Joongkyu Lee Seung Joon Park Yunhao Tang Min-hwan Oh 55 2 0 08 Feb 2024
Bayesian Exploration Networks Matt Fellows Brandon Kaplowitz Christian Schroeder de Witt Shimon Whiteson BDL 92 4 0 24 Aug 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 53 4 0 09 Jan 2023
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan Alex Schwing Yu-Xiong Wang OffRL 70 2 0 18 Oct 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 85 19 0 23 May 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 95 8 0 19 Mar 2022
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise Li Meng Morten Goodwin Anis Yazidi P. Engelstad 68 4 0 02 Mar 2022
Exploring More When It Needs in Deep Reinforcement Learning Youtian Guo Qitong Gao 29 0 0 28 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 100 84 0 01 Sep 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 81 17 0 09 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 80 190 0 17 May 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows M. Valiuddin C.G.A. Viviers OODD 43 0 0 23 Mar 2021
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning Tian Tan Zhihan Xiong Vikranth Dwaracherla 17 5 0 23 Dec 2019
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning T. Doan Bogdan Mazoure Moloud Abdar A. Durand Joelle Pineau R. Devon Hjelm 73 15 0 17 Sep 2019
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 83 41 0 06 Aug 2019
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 67 8 0 10 Jun 2019
Worst-Case Regret Bounds for Exploration via Randomized Value Functions Daniel Russo OffRL 78 88 0 07 Jun 2019
Randomised Bayesian Least-Squares Policy Iteration Nikolaos Tziortziotis Christos Dimitrakakis Michalis Vazirgiannis OffRL 49 1 0 06 Apr 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 296 1,626 0 07 Dec 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 163 52 0 15 Oct 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 90 380 0 08 Jun 2018