MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer
Sampling

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MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

24 October 2022

Lorenzo Servadei

Jose A. Arjona-Medina

Gianfranco Mauro

Daniela Sanchez Lopera

Michael Stephan

Thomas Stadelmayer

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Papers citing "MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling"

19 / 19 papers shown

Title
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 75 37 0 05 Jan 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 167 283 0 04 Oct 2021
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 75 242 0 13 Jul 2020
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 38 25 0 31 Dec 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu OffRL 47 103 0 19 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 175 1,702 0 06 Jun 2019
Prioritized Sequence Experience Replay Marc Brittain J. R. Bertram Xuxi Yang Peng Wei 53 45 0 25 May 2019
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 61 72 0 18 Dec 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 68 169 0 19 Oct 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 70 221 0 20 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 76 380 0 08 Jun 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 88 480 0 23 Apr 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 110 1,367 0 18 Oct 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,718 0 15 Mar 2017
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 91 1,013 0 02 Mar 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,313 0 15 Feb 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015

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