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 / 1,499 papers shown

Title
Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning Kalyan Cherukuri Aarav Lala Yash Yardi 4 0 0 17 May 2025
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies Matthew Landers Taylor W. Killian Thomas Hartvigsen Afsaneh Doryab 14 0 0 17 May 2025
Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation Donghoon Lee Tung M. Luu Younghwan Lee Chang D. Yoo OffRL VLM 14 0 0 16 May 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Zhen Zhang OffRL CML 32 0 0 13 May 2025
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation Samuel Yen-Chi Chen Chen-Yu Liu Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Wei-Hao Huang 31 0 0 13 May 2025
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Bo Meng Chenghao Xu Yongli Zhu AI4CE 14 0 0 13 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang Ruihong Qiu Xuwei Xu Jiajun Liu Sen Wang OffRL 34 0 0 12 May 2025
SEM: Reinforcement Learning for Search-Efficient Large Language Models Zeyang Sha Shiwen Cui Weiqiang Wang KELM OffRL LRM 31 0 0 12 May 2025
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Chengkai Xu Jiaqi Liu Yicheng Guo Wenjie Qu Peng Hang Jian Sun 36 0 0 11 May 2025
LineFlow: A Framework to Learn Active Control of Production Lines Kai Müller Martin Wenzel Tobias Windisch AI4CE 26 0 0 10 May 2025
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks Yuxiang Wei Zhuoqi Zeng Yue Zhong Jiawen Kang R. W. Liu M. S. Hossain 31 0 0 09 May 2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Andreas Kontogiannis Konstantinos Papathanasiou Yi Shen Giorgos Stamou Michael M. Zavlanos G. Vouros 38 0 0 08 May 2025
A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows Selim Mecanna Aurore Loisy Christophe Eloy 34 0 0 08 May 2025
Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization Wenjun Cao AAML 44 0 0 07 May 2025
DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning Borui Wang Kathleen McKeown Rex Ying OffRL 39 0 0 06 May 2025
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning David Ramos Lucas Lacasa E. Valero G. Rubio AI4CE 32 0 0 05 May 2025
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator Xuyang Chen Jingliang Duan Lin Zhao 62 1 0 02 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 26 0 0 29 Apr 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation Jiabin Fan Guoqing Luo Michael Bowling Lili Mou OffRL 68 0 0 26 Apr 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 60 1 0 24 Apr 2025
Multimodal Perception for Goal-oriented Navigation: A Survey I-Tak Ieong Hao Tang LM&Ro LRM 33 0 0 22 Apr 2025
Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback Rohit Dhakate Christian Brommer C. Böhm Stephan Weiss J. Steinbrener 36 5 0 22 Apr 2025
MARFT: Multi-Agent Reinforcement Fine-Tuning Junwei Liao Muning Wen Jun Wang Weixi Zhang OffRL 31 0 0 21 Apr 2025
Learning to Reason under Off-Policy Guidance Jianhao Yan Yafu Li Zican Hu Zhi Wang Ganqu Cui Xiaoye Qu Yu Cheng Yue Zhang OffRL LRM 44 1 0 21 Apr 2025
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation Jiakai Tang Jingsen Zhang Zihang Tian Xueyang Feng Lei Wang Xu Chen OffRL 207 0 0 19 Apr 2025
Evolutionary Policy Optimization Zelal Su "Lain" Mustafaoglu Keshav Pingali Risto Miikkulainen 36 0 0 17 Apr 2025
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild Jonas Myhre Schiøtt Viktor Sebastian Petersen Dimitrios P. Papadopoulos VLM 35 0 0 16 Apr 2025
A Rollout-Based Algorithm and Reward Function for Efficient Resource Allocation in Business Processes Jeroen Middelhuis Z. Bukhsh Ivo Adan R. Dijkman 29 0 0 15 Apr 2025
Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss Ukjo Hwang Songnam Hong OffRL 41 0 0 14 Apr 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 36 1 0 14 Apr 2025
Human-like compositional learning of visually-grounded concepts using synthetic environments Zijun Lin M Ganesh Kumar Cheston Tan OCL CoGe 75 0 0 09 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao Yuan Jiang Zijing Zhang Yang Yu Hechang Chen 23 0 0 09 Apr 2025
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments Dolton Fernandes Pramod Kaushik Harsh Shukla Bapi Raju Surampudi 21 0 0 08 Apr 2025
Exploration-Driven Generative Interactive Environments N. Savov Naser Kazemi Mohammad Mahdi Danda Pani Paudel Xi Wang Luc Van Gool VGen 3DV 43 0 0 03 Apr 2025
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets Rushi Jayeshkumar Babaria Minzhao Lyu Gustavo E. A. P. A. Batista V. Sivaraman AI4TS 48 0 0 02 Apr 2025
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations Rajdeep Singh Hundal Yan Xiao Xiaochun Cao Jin Song Dong Manuel Rigger 51 0 0 28 Mar 2025
Analysis of On-policy Policy Gradient Methods under the Distribution Mismatch Weizhen Wang Jianping He Xiaoming Duan 39 0 0 28 Mar 2025
CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving Xinwei Gao Arambam James Singh Gangadhar Royyuru Michael Yuhas Arvind Easwaran OffRL 35 0 0 28 Mar 2025
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning Yunhao Tang Kunhao Zheng Gabriel Synnaeve Rémi Munos 41 2 0 25 Mar 2025
Thinking agents for zero-shot generalization to qualitatively novel tasks Thomas Miconi Kevin L McKee Yicong Zheng Jed McCaleb LRM AI4CE 51 0 0 25 Mar 2025
Evolutionary Policy Optimization Jianren Wang Yifan Su Abhinav Gupta Deepak Pathak 50 0 0 24 Mar 2025
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models Le Qiu Zelai Xu Qixin Tan Wenhao Tang Chao Yu Yu Wang AAML 43 0 0 24 Mar 2025
Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment Hiromu Taketsugu Takeru Oba Takahiro Maeda Shohei Nobuhara Norimichi Ukita 54 1 0 21 Mar 2025
Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning Victor Ulisses Pugliese Oséias F. de A. Ferreira Fabio A. Faria OffRL 51 0 0 21 Mar 2025
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming Minori Narita Ryo Kuroiwa J. Christopher Beck 54 0 0 20 Mar 2025
Design of Reward Function on Reinforcement Learning for Automated Driving Takeru Goto Yuki Kizumi Shun Iwasaki 41 4 0 20 Mar 2025
Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning Yuki Akiyama Konstantinos Slavakis 39 0 0 20 Mar 2025
Optimizing Decomposition for Optimal Claim Verification Yining Lu Noah Ziems Hy Dang Meng Jiang 61 0 0 19 Mar 2025
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs Nicolas Le Roux Marc G. Bellemare Jonathan Lebensold Arnaud Bergeron Joshua Greaves Alex Fréchette Carolyne Pelletier Eric Thibodeau-Laufer Sándor Toth Sam Work OffRL 91 4 0 18 Mar 2025