A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments

19 May 2020

Papers citing "A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments"

17 / 17 papers shown

Title
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation Zhiqiang He Zhi Liu CLL 59 0 0 02 May 2025
CSAOT: Cooperative Multi-Agent System for Active Object Tracking Hy Nguyen Bao Pham Hung Du Srikanth Thudumu Rajesh Vasa K. Mouzakis 42 1 0 23 Jan 2025
MA-CDMR: An Intelligent Cross-domain Multicast Routing Method based on Multiagent Deep Reinforcement Learning in Multi-domain SDWN Miao Ye Hongwen Hu Xiaoli Wang Yuping Wang Yong Wang Wen Peng Jihao Zheng 23 1 0 27 Aug 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 45 0 0 17 May 2024
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming Andrzej Mizera Jakub Zarzycki 11 0 0 13 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 16 7 0 02 Feb 2024
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 21 2 0 17 Oct 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 34 6 0 24 Jan 2023
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games Indranil Sur Z. Daniels Abrar Rahman Kamil Faber Gianmarco J. Gallardo ... Roberto Corizzo Ajay Divakaran M. Piacentino Jesse Hostetler Aswin Raghavan CLL OffRL 28 4 0 08 Dec 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Biwei Huang Kun Zhang Sara Magliacane CML OffRL 39 32 0 30 Mar 2022
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Universal Off-Policy Evaluation Yash Chandak S. Niekum Bruno C. da Silva Erik Learned-Miller Emma Brunskill Philip S. Thomas OffRL ELM 30 52 0 26 Apr 2021
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 11 65 0 17 May 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,231 0 30 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes T. Banerjee Miao Liu Jonathan P. How 19 26 0 21 Sep 2016