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Shared Autonomy via Deep Reinforcement Learning

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10514-013-9350-3openalex-snapshot
Recognition, prediction, and planning for assisted teleoperation of freeform tasks
inferredcites →https://doi.org/10.1007/s10514-017-9622-4openalex-snapshot
Autonomy infused teleoperation with application to brain computer interface controlled manipulation
inferredcites →https://doi.org/10.1016/j.robot.2008.10.024openalex-snapshot
A survey of robot learning from demonstration
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/icorr.2011.5975338openalex-snapshot
Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning
inferredcites →https://doi.org/10.1109/icra.2015.7140066openalex-snapshot
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification
inferredcites →https://doi.org/10.1109/icra.2017.7989046openalex-snapshot
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
inferredcites →https://doi.org/10.1109/icra.2017.7989224openalex-snapshot
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention
inferredcites →https://doi.org/10.1109/robot.1997.620053openalex-snapshot
Human integration into robot control utilising potential fields
inferredcites →https://doi.org/10.1109/tpami.2015.2430335openalex-snapshot
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response
inferredcites →https://doi.org/10.1145/1201775.882285openalex-snapshot
Layered acting for character animation
inferredcites →https://doi.org/10.1145/1597735.1597738openalex-snapshot
Interactively shaping agents via human reinforcement
inferredcites →https://doi.org/10.1145/2744769.2747927openalex-snapshot
Formal methods for semi-autonomous driving
inferredcites →https://doi.org/10.1177/0278364913490324openalex-snapshot
A policy-blending formalism for shared control
inferredcites →https://doi.org/10.1184/r1/6555512openalex-snapshot
Maximum Entropy Inverse Reinforcement Learning
inferredcites →https://doi.org/10.1371/journal.pcbi.1004730openalex-snapshot
Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering
inferredcites →https://doi.org/10.15607/rss.2015.xi.032openalex-snapshot
Shared Autonomy via Hindsight Optimization
inferredcites →https://doi.org/10.15607/rss.2017.xiii.037openalex-snapshot
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11485openalex-snapshot
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
inferredcites →https://doi.org/10.1609/aaai.v32i1.11796openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.18653/v1/p16-1224openalex-snapshot
Learning Language Games through Interaction
inferredcites →https://doi.org/10.2460/ajvr.67.2.323openalex-snapshot
Pharmacokinetics of a novel formulation of ivermectin after administration to goats
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Reinforcement learning for mapping instructions to actions
inferredcites →https://doi.org/10.48550/arxiv.1507.06527openalex-snapshot
Deep Recurrent Q-Learning for Partially Observable MDPs
inferredcites →https://doi.org/10.48550/arxiv.1709.03969openalex-snapshot
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds
inferredcites →https://doi.org/10.5555/2343576.2343644openalex-snapshot
Reinforcement learning from simultaneous human and MDP reward
inferredcites →https://doi.org/10.5772/5664openalex-snapshot
Human-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Applying External Guidance Commands to Deep Reinforcement Learning for Autonomous Driving
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Reinforcement Learning Algorithms and Their Applications in Education Field: A Systematic Review
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Deep Learning for Educational Data Science
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Reinforcement Learning in Education: A Systematic Literature Review
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Error-related potential-based shared autonomy via deep recurrent reinforcement learning
inferred← citeshttps://doi.org/10.1088/1757-899x/1261/1/012014openalex-snapshot
Coevolution of internal representations in physical human-robot orchestration – models of the surgeon and the robot in robotic surgery
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Non-invasive brain-machine interface control with artificial intelligence copilots
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Assistive Control of Robot Arms via Adaptive Shared Autonomy
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Autonomous Boundary of Human-Machine Collaboration System Based on Reinforcement Learning
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Adaptive Arbitration for Minimal Intervention Shared Control via Deep Reinforcement Learning
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An Intention Inference Method for BiGRU Integrating Multi-head Self-Attention in Share Control
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LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
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Shared Linear Quadratic Regulation Control: A Reinforcement Learning Approach
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Autonomous Patrol with Real-Time Transformer-Based Detection and Operator Override for UAV Surveillance
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The Benefits of Immersive Demonstrations for Teaching Robots
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Human-Aware Reinforcement Learning for Adaptive Human Robot Teaming
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Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
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Controlling Assistive Robots with Learned Latent Actions
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Learning from Demonstration for Real-Time User Goal Prediction and Shared Assistive Control
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Haptic Feedback Improves Human-Robot Agreement and User Satisfaction in Shared-Autonomy Teleoperation
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Situational Confidence Assistance for Lifelong Shared Autonomy
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WE-Filter: Adaptive Acceptance Criteria for Filter-based Shared Autonomy
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Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
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Data-Efficient Learning from Human Interventions for Mobile Robots
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Sampling-Based Grasp and Collision Prediction for Assisted Teleoperation
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Towards Explainable Shared Control using Augmented Reality
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Disentangled Sequence Clustering for Human Intention Inference
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Real-Time Physically-Accurate Simulation of Robotic Snap Connection Process
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A Framework for Learning From Demonstration With Minimal Human Effort
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A Probabilistic Inference Approach for Skill-Based Shared Autonomy in Assistive Robotic Manipulation
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Augmenting Human Policies using Riemannian Metrics for Human-Robot Shared Control
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Probabilistic Policy Blending for Shared Autonomy using Deep Reinforcement Learning
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Baseline Policy Adapting and Abstraction of Shared Autonomy for High-Level Robot Operations
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Adaptive Semi-autonomous Agents via Episodic Control
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Eye Gaze for Assistive Manipulation
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Online Behavior Modification for Expressive User Control of RL-Trained Robots
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Intentional User Adaptation to Shared Control Assistance
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A System for Human-Robot Teaming through End-User Programming and Shared Autonomy
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Pilot Trainees Benefit from Modelling and Adaptive Feedback
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DiSCo: Diffusion Sequence Copilots for Shared Autonomy
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Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
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Continuous shared control in prosthetic hand grasp tasks by Deep Deterministic Policy Gradient with Hindsight Experience Replay
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Human-machine shared autonomy approach for non-full-time effective human decisions
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Shared control with optimized arbitration for human-machine sequential decision-making
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Highly Parallelized Data-Driven MPC for Minimal Intervention Shared Control
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Shared Autonomy with Learned Latent Actions
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Residual Policy Learning for Shared Autonomy
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A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy
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Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
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To the Noise and Back: Diffusion for Shared Autonomy
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Interactive and Explainable Robot Learning: A Comprehensive Review
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On Optimizing Interventions in Shared Autonomy
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Zero-Shot Assistance in Sequential Decision Problems
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Core Challenges in Embodied Vision-Language Planning
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DEEP REINFORCEMENT LEARNING FOR HAPTIC SHARED CONTROL IN UNKNOWN TASKS
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Shared Autonomy Based on Human-in-the-loop Reinforcement Learning with Policy Constraints
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A Monument Digital Reconstruction Experiment Based on the Human UAV Cooperation
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RETHINKING ROBUSTNESS IN MACHINE LEARNING: USE OF GENERATIVE ADVERSARIAL NETWORKS FOR ENHANCED ROBUSTNESS
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Reinforcement learning based motion planning of quadrotors using motion primitives
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Safe autonomy under uncertainty : computation, control, and application
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Proactive and reactive engagement of artificial intelligence methods for education: a review
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Comparative Analysis of Model-Based Predictive Shared Control for Delayed Operation in Object Reaching and Recognition Tasks With Tactile Sensing
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Still Not Solved: A Call for Renewed Focus on User-Centered Teleoperation Interfaces
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Target-Oriented Teaching Path Planning with Deep Reinforcement Learning for Cloud Computing-Assisted Instructions
inferred← citeshttps://doi.org/10.3390/app14135591openalex-snapshot
DRL-SRS: A Deep Reinforcement Learning Approach for Optimizing Spaced Repetition Scheduling
inferred← citeshttps://doi.org/10.3390/info17090893openalex-snapshot
Ownership-Preserving Autonomy in Creative Human–Robot Interaction: A Scientometric and Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/math11183804openalex-snapshot
AI-Enabled Vibrotactile Feedback-Based Condition Monitoring Framework for Outdoor Mobile Robots
inferred← citeshttps://doi.org/10.3390/robotics14100136openalex-snapshot
Investigating Learning Assistance by Demonstration for Robotic Wheelchairs: A Simulation Approach
inferred← citeshttps://doi.org/10.36347/sjet.2022.v10i03.001openalex-snapshot
Rethinking Robustness in Machine Learning: Use of Generative Adversarial Networks for Enhanced Robustness
inferred← citeshttps://doi.org/10.48084/etasr.17900openalex-snapshot
Reinforcement Learning-Supervised LLM Question Generation from Educational Textbooks
inferred← citeshttps://doi.org/10.48550/arxiv.1805.08010openalex-snapshot
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
inferred← citeshttps://doi.org/10.48550/arxiv.1808.09572openalex-snapshot
Cycle-of-Learning for Autonomous Systems from Human Interaction
inferred← citeshttps://doi.org/10.48550/arxiv.1811.07882openalex-snapshot
Guiding Policies with Language via Meta-Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1901.01291openalex-snapshot
On the Utility of Model Learning in HRI
inferred← citeshttps://doi.org/10.48550/arxiv.1906.00535openalex-snapshot
Towards Interactive Training of Non-Player Characters in Video Games
inferred← citeshttps://doi.org/10.48550/arxiv.1906.02641openalex-snapshot
An Extensible Interactive Interface for Agent Design
inferred← citeshttps://doi.org/10.48550/arxiv.1906.12280openalex-snapshot
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation
inferred← citeshttps://doi.org/10.48550/arxiv.1911.04466openalex-snapshot
Variable-Scaling Rate Control for Collision-Free Teleoperation of an Unmanned Aerial Vehicle
inferred← citeshttps://doi.org/10.48550/arxiv.1912.01715openalex-snapshot
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
inferred← citeshttps://doi.org/10.48550/arxiv.1912.05652openalex-snapshot
Learning Human Objectives by Evaluating Hypothetical Behavior
inferred← citeshttps://doi.org/10.48550/arxiv.2003.03677openalex-snapshot
An Intent-based Task-aware Shared Control Framework for Intuitive Hands Free Telemanipulation
inferred← citeshttps://doi.org/10.48550/arxiv.2003.05097openalex-snapshot
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
inferred← citeshttps://doi.org/10.48550/arxiv.2006.14796openalex-snapshot
AvE: Assistance via Empowerment
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Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2104.00053openalex-snapshot
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2109.08273openalex-snapshot
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2109.11328openalex-snapshot
Reinforcement Learning Under Algorithmic Triage
inferred← citeshttps://doi.org/10.48550/arxiv.2203.02072openalex-snapshot
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
inferred← citeshttps://doi.org/10.56581/ijlera.7.2.06-12openalex-snapshot
Rethinking Robustness in Machine Learning: Use of Generative Adversarial Networks for Enhanced Robustness
inferred← citeshttps://doi.org/10.70675/525d96caz1d44z4f9cz86bfzb69a83bf40b5openalex-snapshot
Intrinsically Motivated and Interactive Reinforcement Learning : a Developmental Approach
inferred← citeshttps://doi.org/10.70675/e6be6391z26dfz4380zb96bz49fbd73f4c00openalex-snapshot
Learning Path Recommendation : A Sequential Decision Process
inferred← citeshttps://doi.org/10.70675/ea6bb88dz2dc2z40b1z8e97zc494cfb10891openalex-snapshot
Un système multi-agent pour la composition logicielle opportuniste en environnement ambiant et dynamique
inferred← citeshttps://doi.org/10.70675/f74cdc43zf4ddz4029z92bfzfc968ab24e5dopenalex-snapshot
Algorithmes d’espacement adaptatif de l’apprentissage pour l’optimisation de la maîtrise à long terme de composantes de connaissance
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