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Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

https://doi.org/10.1109/icra.2017.7989385
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What this work says

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

inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/s10994-011-5235-xopenalex-snapshot
Reinforcement learning in feedback control
inferredcites →https://doi.org/10.1016/0005-1098(92)90053-iopenalex-snapshot
Neural networks for control systems—A survey
inferredcites →https://doi.org/10.1016/j.neunet.2008.02.003openalex-snapshot
Reinforcement learning of motor skills with policy gradients
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/icra.2013.6631180openalex-snapshot
Cloud-based robot grasping with the google object recognition engine
inferredcites →https://doi.org/10.1109/icra.2014.6907424openalex-snapshot
Sample-based informationl-theoretic stochastic optimal control
inferredcites →https://doi.org/10.1109/icra.2015.7139645openalex-snapshot
Optimism-driven exploration for nonlinear systems
inferredcites →https://doi.org/10.1109/icsmc.2004.1400771openalex-snapshot
CAHRA: collision avoidance system for humanoid robot arms with potential field
inferredcites →https://doi.org/10.1109/ijcnn.2012.6252823openalex-snapshot
Autonomous reinforcement learning on raw visual input data in a real world application
inferredcites →https://doi.org/10.1109/iros.2011.6095096openalex-snapshot
Learning force control policies for compliant manipulation
inferredcites →https://doi.org/10.1109/iros.2012.6386109openalex-snapshot
MuJoCo: A physics engine for model-based control
inferredcites →https://doi.org/10.1109/iros.2017.8202141openalex-snapshot
Collective robot reinforcement learning with distributed asynchronous guided policy search
inferredcites →https://doi.org/10.1109/robot.2004.1307456openalex-snapshot
Policy gradient reinforcement learning for fast quadrupedal locomotion
inferredcites →https://doi.org/10.1109/robot.2007.363631openalex-snapshot
Neural Reinforcement Learning Controllers for a Real Robot Application
inferredcites →https://doi.org/10.1109/robot.2009.5152385openalex-snapshot
Learning and generalization of motor skills by learning from demonstration
inferredcites →https://doi.org/10.1109/robot.2009.5152577openalex-snapshot
Learning motor primitives for robotics
inferredcites →https://doi.org/10.1109/tase.2014.2376492openalex-snapshot
A Survey of Research on Cloud Robotics and Automation
inferredcites →https://doi.org/10.1145/2463372.2463509openalex-snapshot
Evolving large-scale neural networks for vision-based reinforcement learning
inferredcites →https://doi.org/10.1177/02783640022067878openalex-snapshot
A Platform for Robotics Research Based on the Remote-Brained Robot Approach
inferredcites →https://doi.org/10.1177/0278364907084980openalex-snapshot
Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot
inferredcites →https://doi.org/10.1177/0278364913495721openalex-snapshot
Reinforcement learning in robotics: A survey
inferredcites →https://doi.org/10.1561/2300000021openalex-snapshot
A Survey on Policy Search for Robotics
inferredcites →https://doi.org/10.1609/aaai.v24i1.7727openalex-snapshot
Relative Entropy Policy Search
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1502.05477openalex-snapshot
Trust Region Policy Optimization
inferredcites →https://doi.org/10.48550/arxiv.1504.00702openalex-snapshot
End-to-End Training of Deep Visuomotor Policies
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.1511.06295openalex-snapshot
Policy Distillation
inferredcites →https://doi.org/10.48550/arxiv.1603.00748openalex-snapshot
Continuous Deep Q-Learning with Model-based Acceleration
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0006openalex-snapshot
An Application of Reinforcement Learning to Aerobatic Helicopter Flight

What points at this work

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

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Exploring the Landscapes and Emerging Trends of Reinforcement Learning from 1990 to 2020: A Bibliometric Analysis
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Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter
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RETRACTED ARTICLE: A review on quantum computing and deep learning algorithms and their applications
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Continuous drone control using deep reinforcement learning for frontal view person shooting
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Graph learning-based generation of abstractions for reinforcement learning
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ACRE: Actor-Critic with Reward-Preserving Exploration
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A novel approach to multi-USV cooperative search in unknown dynamic marine environment using reinforcement learning
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An enhanced neuro-adaptive PID sliding mode control for robot manipulators:promoting sustainable automation
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Generating collective wall-jumping behavior for a robotic swarm with self-teaching automatic curriculum learning
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Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision
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An empirical evaluation of a hierarchical reinforcement learning method towards modular robot control
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Decomposition methods with deep corrections for reinforcement learning
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A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
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Deep reinforcement learning for imbalanced classification
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Analysis of coordinated behavior structures with multi-agent deep reinforcement learning
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Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
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Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning
inferred← citeshttps://doi.org/10.1007/s10489-022-04131-wopenalex-snapshot
Optimal stroke learning with policy gradient approach for robotic table tennis
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Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization
inferred← citeshttps://doi.org/10.1007/s10514-019-09852-5openalex-snapshot
Real-time robot path planning from simple to complex obstacle patterns via transfer learning of options
inferred← citeshttps://doi.org/10.1007/s10514-022-10034-zopenalex-snapshot
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning
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Transformer-enhanced deep Q-Learning for adaptive robot path planning in dynamic environments
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Mapless Motion Planning System for an Autonomous Underwater Vehicle Using Policy Gradient-based Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/s10846-021-01333-1openalex-snapshot
Deep Reinforcement Learning for a Humanoid Robot Soccer Player
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Soft Actor-Critic for Navigation of Mobile Robots
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Deep Reinforcement Learning with Heuristic Corrections for UGV Navigation
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
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Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation
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Reinforcement learning for robotic manipulation using simulated locomotion demonstrations
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Planning for potential: efficient safe reinforcement learning
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A closed-loop healthcare processing approach based on deep reinforcement learning
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State Distribution-Aware Sampling for Deep Q-Learning
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A Modified Convergence DDPG Algorithm for Robotic Manipulation
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An improved DQN path planning algorithm
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A federated multi-agent deep reinforcement learning for vehicular fog computing
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Automated cloud resources provisioning with the use of the proximal policy optimization
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Accelerated deep reinforcement learning with efficient demonstration utilization techniques
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Learn to grasp unknown objects in robotic manipulation
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Skill enhancement learning with knowledge distillation
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A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory
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Pedestrian Collision Avoidance Using Deep Reinforcement Learning
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Resource management of cloud-enabled systems using model-free reinforcement learning
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Clustering subspace generalization to obtain faster reinforcement learning
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Robotic Curved Surface Tracking with a Neural Network for Angle Identification and Constant Force Control based on Reinforcement Learning
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Configuration Path Control
inferred← citeshttps://doi.org/10.1007/s12555-022-0555-0openalex-snapshot
Distributed Multi-agent Target Search and Tracking With Gaussian Process and Reinforcement Learning
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Compensated Motion and Position Estimation of a Cable-driven Parallel Robot Based on Deep Reinforcement Learning
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A Path Tracking Control Method for Unmanned Surface Vehicle Based on Reinforcement Learning and Sliding Mode
inferred← citeshttps://doi.org/10.1007/s12555-026-00109-3openalex-snapshot
GASP: Generative Adversarial State Policy and Multi-modal Sensing Framework for Dexterous Manipulation
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MADDPGViz: a visual analytics approach to understand multi-agent deep reinforcement learning
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Dynamic fusion for ensemble of deep Q-network
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Adaptive exploration policy for exploration–exploitation tradeoff in continuous action control optimization
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Efficient hierarchical policy network with fuzzy rules
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Expected Lenient Q-learning: a fast variant of the Lenient Q-learning algorithm for cooperative stochastic Markov games
inferred← citeshttps://doi.org/10.1007/s40747-021-00382-1openalex-snapshot
Dueling deep Q-networks for social awareness-aided spectrum sharing
inferred← citeshttps://doi.org/10.1007/s40747-023-01145-wopenalex-snapshot
Adversarial attacks on cooperative multi-agent deep reinforcement learning: a dynamic group-based adversarial example transferability method
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A knowledge-based task planning approach for robot multi-task manipulation
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Learning high-level robotic manipulation actions with visual predictive model
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Hierarchical reinforcement learning based on macro actions
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Transferring optimal contact skills to flexible manipulators by reinforcement learning
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A sample efficient model-based deep reinforcement learning algorithm with experience replay for robot manipulation
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Inverse input prediction model for robotic belt grinding
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An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments
inferred← citeshttps://doi.org/10.1007/s41315-025-00475-xopenalex-snapshot
Reinforcement learning-based intelligent trajectory tracking for a 5-DOF Mitsubishi robotic arm: comparative evaluation of DDPG, LC-DDPG, and TD3-ADX
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Distance-directed Target Searching for a Deep Visual Servo SMA Driven Soft Robot Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/s42241-020-0028-yopenalex-snapshot
Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization
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Transformer models for quantum gate set tomography
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Neural Model Extraction for Model-Based Control of a Neural Network Forward Model
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Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning
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Embodied intelligence for robot manipulation: development and challenges
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Model-free trajectory tracking control of a 5-DOF mitsubishi robotic arm using deep deterministic policy gradient algorithm
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3D Graphics to Virtual Reality in Medicine
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Reinforcement Learning for Industrial Control: From Toolkit Development to Practical Applications
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Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning
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