ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.01783
  4. Cited By
Asynchronous Methods for Deep Reinforcement Learning
v1v2 (latest)

Asynchronous Methods for Deep Reinforcement Learning

4 February 2016
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
ArXiv (abs)PDFHTML

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 3,591 papers shown
Title
Meta-Reinforcement Learning with Discrete World Models for Adaptive Load Balancing
Cameron Redovian
115
0
0
11 Mar 2025
Pull-Based Query Scheduling for Goal-Oriented Semantic Communication
Pouya Agheli
Nikolaos Pappas
Marios Kountouris
71
0
0
09 Mar 2025
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach
Omar Mameche
Abdelhadi Abedou
Taqwa Mezaache
Mohamed Tadjine
127
0
0
09 Mar 2025
Probabilistic Shielding for Safe Reinforcement Learning
Probabilistic Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court
Francesco Belardinelli
Alex W. Goodall
109
0
0
09 Mar 2025
Deep Reinforcement Learning-Based Semi-Autonomous Control for Magnetic Micro-robot Navigation with Immersive Manipulation
Yudong Mao
Dandan Zhang
77
0
0
08 Mar 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
Mohit Prashant
Arvind Easwaran
Suman Das
Michael Yuhas
OffRL
104
1
0
07 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi
Radu Timofte
126
2
0
06 Mar 2025
Can We Optimize Deep RL Policy Weights as Trajectory Modeling?
Hongyao Tang
OffRL
191
0
0
06 Mar 2025
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
Alfreds Lapkovskis
Boris Sedlak
Sindri Magnússon
Schahram Dustdar
Praveen Kumar Donta
151
2
0
05 Mar 2025
Learning to Negotiate via Voluntary Commitment
Learning to Negotiate via Voluntary Commitment
Shuhui Zhu
Baoxiang Wang
Sriram Ganapathi Subramanian
Pascal Poupart
116
0
0
05 Mar 2025
Autonomous Curriculum Design via Relative Entropy Based Task Modifications
Autonomous Curriculum Design via Relative Entropy Based Task Modifications
Muhammed Yusuf Satici
Jianxun Wang
David L. Roberts
76
0
0
28 Feb 2025
Reducing Reward Dependence in RL Through Adaptive Confidence Discounting
Reducing Reward Dependence in RL Through Adaptive Confidence Discounting
Muhammed Yusuf Satici
David L. Roberts
OffRL
71
0
0
28 Feb 2025
ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments
ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments
Jinghao Xin
Zhichao Liang
Zihuan Zhang
Peng Wang
Ning Li
94
0
0
27 Feb 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He
Peng Qiao
Rongchun Li
Yong Dou
Yusong Tan
OffRL
168
0
0
27 Feb 2025
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
Thomas Budiarjo
Santana Yuda Pradata
Kadek Gemilang Santiyuda
Muhammad Alfian Amrizal
Reza Pulungan
Hiroyuki Takizawa
111
0
0
27 Feb 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
Taiyi Wang
Zhihao Wu
Jianheng Liu
Jianye Hao
Jun Wang
Kun Shao
OffRL
122
29
0
24 Feb 2025
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
Yuli Zhang
Shangbo Wang
Dongyao Jia
Pengfei Fan
Ruiyuan Jiang
Hankang Gu
Andy H.F. Chow
92
0
0
23 Feb 2025
Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
Yao Zhang
Yuyi Mao
Hui Wang
Zhiwen Yu
Song Guo
Jun Zhang
Liang Wang
B. Guo
101
0
0
23 Feb 2025
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
Chengkai Xu
Jiaqi Liu
Shiyu Fang
Jian Sun
Dong Chen
Peng Hang
Jian Sun
234
1
0
21 Feb 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Shicong Cen
Jincheng Mei
Katayoon Goshvadi
Hanjun Dai
Tong Yang
Sherry Yang
Dale Schuurmans
Yuejie Chi
Bo Dai
OffRL
152
37
0
20 Feb 2025
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
208
0
0
18 Feb 2025
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
Abdelrhman Shaheen
Anas Badr
Ali Abohendy
Hatem Alsaadawy
Nadine Alsayad
143
2
0
14 Feb 2025
Provably Robust Federated Reinforcement Learning
Provably Robust Federated Reinforcement Learning
Minghong Fang
Xilong Wang
Neil Zhenqiang Gong
FedML
131
0
0
12 Feb 2025
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
Jusheng Zhang
Zimeng Huang
Yijia Fan
Ningyuan Liu
Mingyan Li
Zhuojie Yang
Jiawei Yao
Jian Wang
Keze Wang
62
1
0
11 Feb 2025
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
Jean Vassoyan
Nathanaël Beau
Roman Plaud
OffRL
157
2
0
10 Feb 2025
Circular Microalgae-Based Carbon Control for Net Zero
Circular Microalgae-Based Carbon Control for Net Zero
Federico Zocco
Joan García
W. Haddad
196
1
0
04 Feb 2025
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information
Jinghai He
Cheng Hua
Chunyang Zhou
Zeyu Zheng
AIFin
85
2
0
29 Jan 2025
Divergence-Augmented Policy Optimization
Qing Wang
Yingru Li
Jiechao Xiong
Tong Zhang
OffRL
174
16
0
28 Jan 2025
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
Xuan Chen
Yuzhou Nie
Wenbo Guo
Xiangyu Zhang
213
18
0
28 Jan 2025
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Zhihan Zheng
Haitao Yuan
Minxiao Chen
Shangguang Wang
AI4TS
127
2
0
28 Jan 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
Bowen Zheng
Ran Cheng
Kay Chen Tan
100
0
0
25 Jan 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Lucía Güitta-López
Jaime Boal
Álvaro J. López-López
117
6
0
24 Jan 2025
Control-ITRA: Controlling the Behavior of a Driving Model
Control-ITRA: Controlling the Behavior of a Driving Model
Vasileios Lioutas
Adam Scibior
Matthew Niedoba
Berend Zwartsenberg
Frank Wood
411
0
0
17 Jan 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
Bhargava Uppuluri
Anjel Patel
Neil Mehta
Sridhar Kamath
Pratyush Chakraborty
122
1
0
10 Jan 2025
Highway Graph to Accelerate Reinforcement Learning
Highway Graph to Accelerate Reinforcement Learning
Zidu Yin
Zhen Zhang
Dong Gong
Stefano V. Albrecht
J. Q. Shi
OffRL
73
0
0
08 Jan 2025
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
Baoqian Wang
Junfei Xie
Nikolay Atanasov
97
10
0
03 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRLELM
467
0
0
31 Dec 2024
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
Fangwei Zhong
Kui Wu
Churan Wang
Hao Chen
Hai Ci
Zhoujun Li
Yizhou Wang
VGen
90
2
0
31 Dec 2024
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot
  Task Planning
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
Xuan Zhou
Xiang Shi
Lele Zhang
Chong Chen
Hongbo Li
Lin Ma
Fang Deng
Jie Chen
57
0
0
27 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
OffRL
140
2
0
18 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic
  Policy with Computational Efficiency
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
Taisuke Kobayashi
Takumi Aotani
176
5
0
17 Dec 2024
Lightweight Decentralized Neural Network-Based Strategies for
  Multi-Robot Patrolling
Lightweight Decentralized Neural Network-Based Strategies for Multi-Robot Patrolling
James Ward
Ryan McConville
Edmund R. Hunt
96
0
0
16 Dec 2024
Adaptive Reward Design for Reinforcement Learning
Adaptive Reward Design for Reinforcement Learning
Minjae Kwon
Ingy Elsayed-Aly
Lu Feng
155
2
0
14 Dec 2024
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
Kuan-Cheng Chen
Samuel Yen-Chi Chen
Chen-Yu Liu
Kin K Leung
133
7
0
12 Dec 2024
A Cross-Scene Benchmark for Open-World Drone Active Tracking
A Cross-Scene Benchmark for Open-World Drone Active Tracking
Haowei Sun
Jinwu Hu
Zhirui Zhang
Haoyuan Tian
Xinze Xie
Yufeng Wang
Zhuliang Yu
Xiaohua Xie
Mingkui Tan
134
0
0
01 Dec 2024
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
Tae-Hoon Lee
Min-Soo Kim
150
0
0
29 Nov 2024
Self-reconfiguration Strategies for Space-distributed Spacecraft
Self-reconfiguration Strategies for Space-distributed Spacecraft
Tianle Liu
Zhixiang Wang
Yongwei Zhang
Ziwei Wang
Zihao Liu
Yizhai Zhang
Panfeng Huang
71
0
0
26 Nov 2024
Unsupervised Event Outlier Detection in Continuous Time
Unsupervised Event Outlier Detection in Continuous Time
Somjit Nath
Yik Chau Lui
Siqi Liu
AI4TS
116
0
0
25 Nov 2024
Creating Hierarchical Dispositions of Needs in an Agent
Creating Hierarchical Dispositions of Needs in an Agent
Tofara Moyo
125
0
0
23 Nov 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning
  with Shared Representations
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong
Shufan Wang
Daniel Jiang
Jian Li
FedML
151
1
0
22 Nov 2024
Previous
123456...707172
Next