Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 1,546 papers shown

Title
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models Xue Yan Yan Song Xinyu Cui Filippos Christianos Haifeng Zhang D. Mguni Jun Wang LRM 122 7 0 27 Oct 2023
Learning to bag with a simulation-free reinforcement learning framework for robots Francisco Munguia-Galeano Jihong Zhu Juan David Hernández Ze Ji 30 0 0 22 Oct 2023
End-to-end Offline Reinforcement Learning for Glycemia Control Tristan Beolet Alice Adenis E. Huneker Maxime Louis OffRL 38 1 0 16 Oct 2023
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches Jihong Park Seung-Woo Ko Jinho Choi Seong-Lyun Kim M. Bennis 39 7 0 14 Oct 2023
Offline Reinforcement Learning for Optimizing Production Bidding Policies D. Korenkevych Frank Cheng Artsiom Balakir Alex Nikulkov Lingnan Gao Zhihao Cen Zuobing Xu Zheqing Zhu OffRL 31 1 0 13 Oct 2023
Evading Community Detection via Counterfactual Neighborhood Search Andrea Bernini Fabrizio Silvestri Gabriele Tolomei BDL 41 1 0 13 Oct 2023
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks Andrew Starnes Anton Dereventsov Clayton Webster 24 0 0 09 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 35 11 0 04 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation Benjamin Steenhoek Michele Tufano Neel Sundaresan Alexey Svyatkovskiy OffRL ALM 55 18 0 03 Oct 2023
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment Tianhao Wu Banghua Zhu Ruoyu Zhang Zhaojin Wen Kannan Ramchandran Jiantao Jiao 44 55 0 30 Sep 2023
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints Chaoqi Wang Yibo Jiang Yuguang Yang Han Liu Yuxin Chen 42 82 0 28 Sep 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 29 2 0 26 Sep 2023
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 37 9 0 25 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning Yousef AlSaqabi Bhaskar Krishnamachari 28 2 0 21 Sep 2023
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces Andrea Angiuli J. Fouque Ruimeng Hu Alan Raydan 37 5 0 19 Sep 2023
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes Qinbo Bai Washim Uddin Mondal Vaneet Aggarwal 34 9 0 05 Sep 2023
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection Yazhou Xing Amrita Mazumdar Anjul Patney Chao Liu Hongxu Yin Qifeng Chen Jan Kautz I. Frosio 52 1 0 29 Aug 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 31 1 0 28 Aug 2023
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 44 0 0 28 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 36 3 0 25 Aug 2023
A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications Anupama Mampage S. Karunasekera Rajkumar Buyya 44 3 0 22 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 38 0 0 13 Aug 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 43 0 0 03 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 27 3 0 29 Jul 2023
Dialogue Shaping: Empowering Agents through NPC Interaction Wei Zhou Xiangyu Peng Mark O. Riedl LLMAG 38 8 0 28 Jul 2023
On-Robot Bayesian Reinforcement Learning for POMDPs Hai V. Nguyen Sammie Katt Yuchen Xiao Chris Amato OffRL 26 1 0 22 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 45 5 0 20 Jul 2023
Robust Driving Policy Learning with Guided Meta Reinforcement Learning Kanghoon Lee Jiachen Li David Isele Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 31 5 0 19 Jul 2023
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading Vikram Duvvur Aashay Mehta Edward W. Sun Bo Wu Ken Yew Chan J. Schneider AIFin 32 0 0 18 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 40 4 0 16 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 26 0 0 11 Jul 2023
Secrets of RLHF in Large Language Models Part I: PPO Rui Zheng Shihan Dou Songyang Gao Yuan Hua Wei Shen ... Hang Yan Tao Gui Qi Zhang Xipeng Qiu Xuanjing Huang ALM OffRL 55 160 0 11 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 30 3 0 22 Jun 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization Maziar Gomrokchi Owen Levin Jeffrey Roach Jonah White OffRL 35 1 0 21 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 36 4 0 20 Jun 2023
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios Jaromír Janisch Tomávs Pevný Viliam Lisý 23 13 0 26 May 2023
GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation Jingyang Huo Qiang Sun Boyan Jiang Haitao Lin Yanwei Fu 36 19 0 26 May 2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning V. Moschopoulos Pantelis Kyriakidis A. Lazaridis I. Vlahavas 23 0 0 25 May 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 24 0 0 23 May 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 19 13 0 22 May 2023
Continually Improving Extractive QA via Human Feedback Ge Gao Hung-Ting Chen Yoav Artzi Eunsol Choi 31 12 0 21 May 2023
Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction Shulu Chen A. Evans Marc Brittain Peng Wei 30 15 0 17 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 46 6 0 16 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Optimizing Memory Mapping Using Deep Reinforcement Learning Pengming Wang Mikita Sazanovich Berkin Ilbeyi P. Phothilimthana Manish Purohit ... R. Tung Paula Kurylowicz Kieran Milan Oriol Vinyals D. Mankowitz 22 4 0 11 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 32 0 0 10 May 2023