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"

46 / 46 papers shown

Title
CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World Zoya Volovikova G. Gorbov Petr Kuderov Aleksandr I. Panov A. Skrynnik 4 0 0 17 May 2025
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation Zhiqiang He Zhi Liu CLL 62 0 0 02 May 2025
Natural Policy Gradient for Average Reward Non-Stationary RL Neharika Jali Eshika Pathak Pranay Sharma Guannan Qu Gauri Joshi 32 0 0 23 Apr 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
Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments Emilio Olivastri Jonathan Francis Alberto Pretto Niko Sünderhauf Krishan Rana 28 1 0 05 Nov 2024
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation Xinhao Zhang Jinghan Zhang Wujun Si Kunpeng Liu 43 0 0 04 Nov 2024
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 25 1 0 27 Aug 2024
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters Haoyu Bai Minxian Xu Kejiang Ye Rajkumar Buyya Chengzhong Xu 16 4 0 14 Jul 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation Detian Chu Linyuan Bai Jianuo Huang Zhenlong Fang Peng Zhang Wei Kang Haifeng Lin 45 2 0 08 Jul 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Python-Based Reinforcement Learning on Simulink Models Georg Schafer Max Schirl Jakob Rehrl Stefan Huber Simon Hirlaender AI4CE 31 4 0 14 May 2024
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Thanh Toan Nguyen Quoc Viet Hung Nguyen Thanh Tam Nguyen T. T. Huynh Thanh Thi Nguyen Matthias Weidlich Hongzhi Yin AAML 29 21 0 23 Apr 2024
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming Andrzej Mizera Jakub Zarzycki 19 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 24 7 0 02 Feb 2024
Optimizing Heat Alert Issuance with Reinforcement Learning Ellen M. Considine Rachel C. Nethery G. Wellenius Francesca Dominici Mauricio Tec OffRL 34 0 0 21 Dec 2023
Safe Sequential Optimization for Switching Environments Durgesh Kalwar S. VineethB. 15 0 0 03 Nov 2023
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 29 2 0 17 Oct 2023
Tempo Adaptation in Non-stationary Reinforcement Learning Hyunin Lee Yuhao Ding Jongmin Lee Ming Jin Javad Lavaei Somayeh Sojoudi 9 3 0 26 Sep 2023
Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications Hamidreza Mazandarani Masoud Shokrnezhad T. Taleb Richard Li 13 7 0 18 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 32 16 0 02 Sep 2023
The complexity of non-stationary reinforcement learning Christos H. Papadimitriou Binghui Peng 33 2 0 13 Jul 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
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 18 0 0 05 Jun 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 32 8 0 10 May 2023
A Review of Deep Learning for Video Captioning Moloud Abdar Meenakshi Kollati Swaraja Kuraparthi Farhad Pourpanah Daniel J. McDuff ... Shuicheng Yan Abduallah A. Mohamed Abbas Khosravi Min Zhang Fatih Porikli 3DV 37 21 0 22 Apr 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 44 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 36 4 0 08 Dec 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 24 11 0 06 Oct 2022
Pathfinding in Random Partially Observable Environments with Vision-Informed Deep Reinforcement Learning Anthony Dowling 9 1 0 11 Sep 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 30 10 0 30 Aug 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 45 32 0 30 Mar 2022
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization P. Liotet Francesco Vidaich Alberto Maria Metelli Marcello Restelli OffRL 6 8 0 13 Dec 2021
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
Collaboration Promotes Group Resilience in Multi-Agent AI Sarah Keren M. Gerstgrasser Ofir Abu J. Rosenschein 11 0 0 12 Nov 2021
Online reinforcement learning with sparse rewards through an active inference capsule Alejandro Daniel Noel C. V. Hoof Beren Millidge OffRL 16 7 0 04 Jun 2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection L. N. Alegre A. Bazzan Bruno C. da Silva OffRL 17 23 0 20 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 16 10 0 18 May 2021
Universal Off-Policy Evaluation Yash Chandak S. Niekum Bruno C. da Silva Erik Learned-Miller Emma Brunskill Philip S. Thomas OffRL ELM 32 52 0 26 Apr 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control Weichao Mao Kaipeng Zhang Ruihao Zhu D. Simchi-Levi Tamer Bacsar 22 13 0 07 Oct 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 14 54 0 30 Jun 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 13 65 0 17 May 2020
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control L. N. Alegre A. Bazzan Bruno C. da Silva 6 14 0 09 Apr 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,234 0 30 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 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 27 26 0 21 Sep 2016