Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

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Title
Unsupervised Event Outlier Detection in Continuous Time Somjit Nath Yik Chau Lui Siqi Liu AI4TS 75 0 0 25 Nov 2024
Creating Hierarchical Dispositions of Needs in an Agent Tofara Moyo 91 0 0 23 Nov 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 78 1 0 22 Nov 2024
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems Egor E. Nuzhin Nikolai V. Brilliantov 64 1 0 21 Nov 2024
ReinFog: A DRL Empowered Framework for Resource Management in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya 82 0 0 20 Nov 2024
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents Kevin Godin-Dubois Karine Miras Anna V. Kononova 76 0 0 20 Nov 2024
Bitcoin Under Volatile Block Rewards: How Mempool Statistics Can Influence Bitcoin Mining Roozbeh Sarenche Alireza Aghabagherloo S. Nikova Bart Preneel 77 0 0 18 Nov 2024
VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation Bangguo Yu Yuzhen Liu Lei Han Hamidreza Kasaei Tingguang Li M. Cao LM&Ro 81 3 0 18 Nov 2024
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents Jean Vassoyan Anan Schütt Jill-Jênn Vie Arun-Balajiee Lekshmi-Narayanan Elisabeth André Nicolas Vayatis AI4Ed 74 0 0 18 Nov 2024
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs Philips George John Arnab Bhattacharyya Silviu Maniu Dimitrios Myrisiotis Zhenan Wu OffRL 36 0 0 16 Nov 2024
Multi-agent Path Finding for Timed Tasks using Evolutionary Games Sheryl Paul Anand Balakrishnan Xin Qin Jyotirmoy V. Deshmukh 31 0 0 15 Nov 2024
Rationality based Innate-Values-driven Reinforcement Learning Qin Yang 18 0 0 14 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 29 2 0 08 Nov 2024
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry Oliver Knitter Dan Zhao J. Stokes M. Ganahl Stefan Leichenauer S. Veerapaneni 37 1 0 06 Nov 2024
Hierarchical Orchestra of Policies Thomas P Cannon Özgür Simsek CLL 39 0 0 05 Nov 2024
When to Localize? A Risk-Constrained Reinforcement Learning Approach Chak Lam Shek Kasra Torshizi Troi Williams Pratap Tokekar 41 2 0 05 Nov 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Vision Maxwell Meyer Jack Spruyt ViT 26 0 0 31 Oct 2024
CALE: Continuous Arcade Learning Environment Jesse Farebrother Pablo Samuel Castro ELM 38 0 0 31 Oct 2024
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection Yujin Wang Tianyi Xu Fan Zhang Tianfan Xue Liang Feng VLM 31 4 0 30 Oct 2024
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment Yi Zheng Zehao Li Peng Jiang Yijie Peng 24 0 0 28 Oct 2024
FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents Jannis Weil Jonas Ringsdorf Julian Barthel Yi-Ping Phoebe Chen Tobias Meuser OffRL 31 0 0 28 Oct 2024
Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations Eduardo C. Garrido-Merchán Maria Coronado Vaca Álvaro López-López Carlos Martínez de Ibarreta 28 0 0 27 Oct 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 56 0 0 24 Oct 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 85 6 0 23 Oct 2024
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts Sheryl Paul Jyotirmoy V. Deshmukh 38 0 0 22 Oct 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded" Som Sagar Aditya Taparia Ransalu Senanayake 20 0 0 22 Oct 2024
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Hanlin Yang Jian Yao Weiming Liu Qing Wang Hanmin Qin ... Hongwu Chen Juchao Zhuo Qiang Fu Yang Wei Haobo Fu 34 1 0 21 Oct 2024
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution Zijie Zhao Roy E. Welsch AIFin 15 1 0 19 Oct 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments Mariusz Wisniewski Paraskevas Chatzithanos Weisi Guo Antonios Tsourdos 38 3 0 18 Oct 2024
Streaming Deep Reinforcement Learning Finally Works Mohamed Elsayed Gautham Vasan A. R. Mahmood OffRL 54 4 0 18 Oct 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya OffRL 35 3 0 18 Oct 2024
Vision-Language Navigation with Energy-Based Policy Rui Liu Wenguan Wang Yue Yang 40 3 0 18 Oct 2024
AERO: Softmax-Only LLMs for Efficient Private Inference N. Jha Brandon Reagen 32 1 0 16 Oct 2024
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge Motahare Mounesan Xiaojie Zhang S. Debroy 28 1 0 16 Oct 2024
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs Qianggang Ding Haochen Shi Jiadong Guo Bang Liu AIFin 43 3 0 16 Oct 2024
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms Zhengyan Shi Sander Land Acyr Locatelli Matthieu Geist Max Bartolo 54 4 0 15 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse Devendra Singh Dhami Kristian Kersting 45 3 0 15 Oct 2024
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning Bokai Hu Sai Ashish Somayajula Xin Pan Zihan Huang Pengtao Xie OffRL 21 1 0 14 Oct 2024
Multi-Agent Actor-Critics in Autonomous Cyber Defense Mingjun Wang Remington Dechene 31 0 0 11 Oct 2024
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong Yizhe Huang Song-Chun Zhu Siyuan Qi Xue Feng 36 2 0 10 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 90 0 0 10 Oct 2024
Effective Exploration Based on the Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li 21 2 0 09 Oct 2024
Solving Multi-Goal Robotic Tasks with Decision Transformer Paul Gajewski Dominik Zurek Marcin Pietroñ Kamil Faber OffRL 32 1 0 08 Oct 2024
Learning in complex action spaces without policy gradients Arash Tavakoli Sina Ghiassian Nemanja Rakićević OffRL 28 0 0 08 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 43 1 0 07 Oct 2024
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks Zeyu Feng Hao Luan Kevin Yuchen Ma Harold Soh 32 2 0 03 Oct 2024
Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting Alessio Russo Alberto Maria Metelli Marcello Restelli 36 0 0 02 Oct 2024
Criticality and Safety Margins for Reinforcement Learning Alexander Grushin Walt Woods Alvaro Velasquez Simon Khan AAML 38 1 0 26 Sep 2024
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection Wanrong Yang Alberto Acuto Yihang Zhou Dominik Wojtczak OffRL 36 2 0 25 Sep 2024