Asynchronous Methods for Deep Reinforcement Learning | Paper Citation Record

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OpenAI Gym cites this paper.

OpenAI Gym Asynchronous Methods for Deep Reinforcement Learning

Reference 4

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DeepMind Control Suite cites this paper.

DeepMind Control Suite Asynchronous Methods for Deep Reinforcement Learning

Reference 9

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Planning Robot Motion using Deep Visual Prediction cites this paper.

Planning Robot Motion using Deep Visual Prediction Asynchronous Methods for Deep Reinforcement Learning

Reference 12

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Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm cites this paper.

Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm Asynchronous Methods for Deep Reinforcement Learning

Reference 9

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Learning-based Hamilton-Jacobi-Bellman Methods for Optimal Control cites this paper.

Learning-based Hamilton-Jacobi-Bellman Methods for Optimal Control Asynchronous Methods for Deep Reinforcement Learning

Reference 26

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A review on Deep Reinforcement Learning for Fluid Mechanics cites this paper.

A review on Deep Reinforcement Learning for Fluid Mechanics Asynchronous Methods for Deep Reinforcement Learning

Reference 37

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots cites this paper.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Asynchronous Methods for Deep Reinforcement Learning

Reference 33

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Interactive Machine Comprehension with Information Seeking Agents cites this paper.

Interactive Machine Comprehension with Information Seeking Agents Asynchronous Methods for Deep Reinforcement Learning

Reference 11

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LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games cites this paper.

LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games Asynchronous Methods for Deep Reinforcement Learning

Reference 12

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Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Asynchronous Methods for Deep Reinforcement Learning

Reference 113

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A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Asynchronous Methods for Deep Reinforcement Learning

Reference 155

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Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Asynchronous Methods for Deep Reinforcement Learning

Reference 232

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RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Asynchronous Methods for Deep Reinforcement Learning

Reference 68

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Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 72

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging cites this paper.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Asynchronous Methods for Deep Reinforcement Learning

Reference 90

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Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs cites this paper.

Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs Asynchronous Methods for Deep Reinforcement Learning

Reference 14

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization cites this paper.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Asynchronous Methods for Deep Reinforcement Learning

Reference 45

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Reinforcement Learning Enhancing Entanglement for Two-Photon-Driven Rabi Model cites this paper.

Reinforcement Learning Enhancing Entanglement for Two-Photon-Driven Rabi Model Asynchronous Methods for Deep Reinforcement Learning

Reference 51

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Unsupervised Event Outlier Detection in Continuous Time cites this paper.

Unsupervised Event Outlier Detection in Continuous Time Asynchronous Methods for Deep Reinforcement Learning

Reference 23

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RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields cites this paper.

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Asynchronous Methods for Deep Reinforcement Learning

Reference 52

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Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning cites this paper.

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning Asynchronous Methods for Deep Reinforcement Learning

Reference 34

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Asynchronous Methods for Deep Reinforcement Learning

Reference 132

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A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation cites this paper.

A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Asynchronous Methods for Deep Reinforcement Learning

Reference 56

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FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation cites this paper.

FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation Asynchronous Methods for Deep Reinforcement Learning

Reference 29

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TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning cites this paper.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 35

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KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Asynchronous Methods for Deep Reinforcement Learning

Reference 28

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Dynamic Reinforcement Learning for Actors cites this paper.

Dynamic Reinforcement Learning for Actors Asynchronous Methods for Deep Reinforcement Learning

Reference 37

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pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild cites this paper.

pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild Asynchronous Methods for Deep Reinforcement Learning

Reference 19

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Evolutionary Policy Optimization cites this paper.

Evolutionary Policy Optimization Asynchronous Methods for Deep Reinforcement Learning

Reference 10

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Multimodal Perception for Goal-oriented Navigation: A Survey cites this paper.

Multimodal Perception for Goal-oriented Navigation: A Survey Asynchronous Methods for Deep Reinforcement Learning

Reference 113

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Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots cites this paper.

Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots Asynchronous Methods for Deep Reinforcement Learning

Reference 25

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Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning cites this paper.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 39

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Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation cites this paper.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Asynchronous Methods for Deep Reinforcement Learning

Reference 11

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Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution Asynchronous Methods for Deep Reinforcement Learning

Reference 27

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Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning cites this paper.

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 40

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A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment cites this paper.

A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Asynchronous Methods for Deep Reinforcement Learning

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Adaptive Plane Reformatting for 4D Flow MRI using Deep Reinforcement Learning cites this paper.

Adaptive Plane Reformatting for 4D Flow MRI using Deep Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 20

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment cites this paper.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Asynchronous Methods for Deep Reinforcement Learning

Reference 41

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A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams cites this paper.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Asynchronous Methods for Deep Reinforcement Learning

Reference 56

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Neural Polar Decoders for DNA Data Storage cites this paper.

Neural Polar Decoders for DNA Data Storage Asynchronous Methods for Deep Reinforcement Learning

Reference 24

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RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment cites this paper.

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment Asynchronous Methods for Deep Reinforcement Learning

Reference 45

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Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems cites this paper.

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems Asynchronous Methods for Deep Reinforcement Learning

Reference 10

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Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions cites this paper.

Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions Asynchronous Methods for Deep Reinforcement Learning

Reference 28

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Structure-Informed Deep Reinforcement Learning for Inventory Management cites this paper.

Structure-Informed Deep Reinforcement Learning for Inventory Management Asynchronous Methods for Deep Reinforcement Learning

Reference 2016

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TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning cites this paper.

TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning Asynchronous Methods for Deep Reinforcement Learning

Reference 5

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AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes cites this paper.

AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes Asynchronous Methods for Deep Reinforcement Learning

Reference 18

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Scalable Option Learning in High-Throughput Environments cites this paper.

Scalable Option Learning in High-Throughput Environments Asynchronous Methods for Deep Reinforcement Learning

Reference 42

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Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety cites this paper.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Asynchronous Methods for Deep Reinforcement Learning

Reference 97

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Structured AI Decision-Making in Disaster Management cites this paper.

Structured AI Decision-Making in Disaster Management Asynchronous Methods for Deep Reinforcement Learning

Reference 51

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A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games cites this paper.

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games Asynchronous Methods for Deep Reinforcement Learning

Reference 68

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Necessary and Sufficient Conditions for the Optimization-Based Concurrent Execution of Learned Robotic Tasks cites this paper.

Necessary and Sufficient Conditions for the Optimization-Based Concurrent Execution of Learned Robotic Tasks Asynchronous Methods for Deep Reinforcement Learning

Reference 13

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Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently cites this paper.

Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently Asynchronous Methods for Deep Reinforcement Learning

Reference 22

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A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach Asynchronous Methods for Deep Reinforcement Learning

Reference 44

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Beyond Distribution Sharpening: The Importance of Task Rewards cites this paper.

Beyond Distribution Sharpening: The Importance of Task Rewards Asynchronous Methods for Deep Reinforcement Learning

Reference 25

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Planning in entropy-regularized Markov decision processes and games cites this paper.

Planning in entropy-regularized Markov decision processes and games Asynchronous Methods for Deep Reinforcement Learning

Reference 19

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Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields cites this paper.

Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields Asynchronous Methods for Deep Reinforcement Learning

Reference 50

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A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management Asynchronous Methods for Deep Reinforcement Learning

Reference 40

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Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation cites this paper.

Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation Asynchronous Methods for Deep Reinforcement Learning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:11.939348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26787b4f-df45-42eb-86e3-e764f31b25f3 · inbound

Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation cites this paper.

Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation Asynchronous Methods for Deep Reinforcement Learning

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:12.291799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7010be37-4c71-44eb-afab-a8de6b34730f · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Asynchronous Methods for Deep Reinforcement Learning

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:41:08.054024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f20f7a9-28cc-4409-b5da-1de45774a54c · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Asynchronous Methods for Deep Reinforcement Learning

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:24.287058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 531d7397-13d5-4256-be0f-a28c667d5c58 · inbound

KL for a KL: On-Policy Distillation with Control Variate Baseline cites this paper.

KL for a KL: On-Policy Distillation with Control Variate Baseline Asynchronous Methods for Deep Reinforcement Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:54.193594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0c3a9bc-3274-4ddc-95a9-d9ef9cc52725 · inbound

Error whitening: Why Gauss-Newton outperforms Newton cites this paper.

Error whitening: Why Gauss-Newton outperforms Newton Asynchronous Methods for Deep Reinforcement Learning

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:17:07.107634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a9bdf5c-6c50-4c11-a99e-67a66e95b3aa · inbound

Delay-Empowered Causal Hierarchical Reinforcement Learning cites this paper.

Delay-Empowered Causal Hierarchical Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:47:21.230331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c1a59c5-7ac1-4bf8-b2e7-5296a3257f16 · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient Asynchronous Methods for Deep Reinforcement Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.584775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7add35e6-5071-4fa0-bc51-34352c392697 · inbound

SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them Matter cites this paper.

SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them Matter Asynchronous Methods for Deep Reinforcement Learning

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T11:46:56.175665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf0c0586-61db-445b-80db-e3ebf182fe08 · inbound

Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback cites this paper.

Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback Asynchronous Methods for Deep Reinforcement Learning

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:40:00.108311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b33b2be-4e57-43ab-814c-925877d73911 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Asynchronous Methods for Deep Reinforcement Learning

Reference 178

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:09:46.211891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 362cd1cd-ea81-436f-8487-8f7eea64158b · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Asynchronous Methods for Deep Reinforcement Learning

Reference 178

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.375058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da89960b-03b7-4bbe-abd0-0b3e57f312e8 · inbound

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation cites this paper.

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation Asynchronous Methods for Deep Reinforcement Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:20:06.921987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0bcb39e3-a578-4c60-ac1c-0db23f348818 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Asynchronous Methods for Deep Reinforcement Learning

Reference 170

Resolution: unresolved; no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf0357d7-7771-4921-9df9-aac9114b7258 · inbound

Computational Determination of Optimal Growth Protocols for Metastable Polymorphs cites this paper.

Computational Determination of Optimal Growth Protocols for Metastable Polymorphs Asynchronous Methods for Deep Reinforcement Learning

Reference 162

Resolution: unresolved; no resolver link, observed 2026-07-12T02:58:08.912254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad9131a-7af0-45cf-8b20-f10d2e21a72e · inbound

MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning cites this paper.

MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-10T02:56:43.532753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51580c9e-d0c4-4db0-988b-5971a3102fc3 · inbound

Automated Stealthy Wear-Out Attack on Digital Twins With Deep Reinforcement Learning cites this paper.

Automated Stealthy Wear-Out Attack on Digital Twins With Deep Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T08:57:07.143027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b3c4aae-a291-4a4e-9c34-4ab197910224 · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations Asynchronous Methods for Deep Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T00:28:22.105962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers