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Optimizing for the Future in Non-Stationary MDPs

17 May 2020

Papers citing "Optimizing for the Future in Non-Stationary MDPs"

31 / 31 papers shown

Title
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 110 0 0 04 Feb 2023
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 82 65 0 18 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 68 151 0 19 May 2020
Adaptive Online Planning for Continual Lifelong Learning Kevin Lu Igor Mordatch Pieter Abbeel OffRL OnRL CLL 51 15 0 03 Dec 2019
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation Melkior Ornik Ufuk Topcu OOD 26 15 0 29 Nov 2019
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li Lav Varshney Zhizhen Zhao 43 6 0 12 Sep 2019
Meta-descent for Online, Continual Prediction Andrew Jacobsen M. Schlegel Cam Linke T. Degris Adam White Martha White 44 23 0 17 Jul 2019
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 58 7 0 07 Jun 2019
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model Chang Li Maarten de Rijke 43 17 0 29 May 2019
Reinforcement Learning in Non-Stationary Environments Sindhu Padakandla J. PrabuchandranK. S. Bhatnagar OffRL 74 44 0 10 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 88 549 0 29 Apr 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version Erwan Lecarpentier Emmanuel Rachelson 91 85 0 22 Apr 2019
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization Jun-Kun Wang Xiaoyun Li Belhal Karimi Ping Li ODL 46 1 0 04 Mar 2019
An Online Learning Approach to Model Predictive Control Nolan Wagener Ching-An Cheng Jacob Sacks Byron Boots 70 73 0 24 Feb 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 99 191 0 18 Dec 2018
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 143 2,449 0 13 Dec 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 70 762 0 08 Oct 2018
A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions Pratik Gajane R. Ortner P. Auer 53 64 0 25 May 2018
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent Alex Kearney Vivek Veeriah Jaden B. Travnik R. Sutton P. Pilarski 38 16 0 10 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 130 553 0 30 Mar 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 69 354 0 10 Oct 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 105 539 0 13 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 538 19,265 0 20 Jul 2017
Rotting Bandits Nir Levine K. Crammer Shie Mannor 56 102 0 23 Feb 2017
Unifying task specification in reinforcement learning Martha White OffRL 63 90 0 07 Sep 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 432 577 0 04 Apr 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 217 624 0 11 Nov 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions Yasin Abbasi-Yadkori Peter L. Bartlett Csaba Szepesvári 97 86 0 12 Mar 2013
Online Learning with Predictable Sequences Alexander Rakhlin Karthik Sridharan 212 362 0 18 Aug 2012
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems Aurélien Garivier Eric Moulines 97 294 0 22 May 2008