Thinking While Moving Deep Reinforcement Learning With Concurrent Control

By Editorial Team · September 29, 2026 · 7 min read

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Concurrent Discrete and Continuous Actions in Deep Reinforcement Learning (Results)
Concurrent Discrete and Continuous Actions in Deep Reinforcement Learning (Results)
MultiROS - ROS-Based Robot Simulation Environment for Concurrent Deep Reinforcement Learning
MultiROS - ROS-Based Robot Simulation Environment for Concurrent Deep Reinforcement Learning
Deep Reinforcement Learning for Mapless Navigation of a HUAUV with Medium Transition
Deep Reinforcement Learning for Mapless Navigation of a HUAUV with Medium Transition
A Deep Reinforcement Learning Perspective on Internet Congestion Control (ICML 2019)
A Deep Reinforcement Learning Perspective on Internet Congestion Control (ICML 2019)
Mobile Robotic Arm using Multi-Agent Reinforcement Learning
Mobile Robotic Arm using Multi-Agent Reinforcement Learning
Continuous Control with Deep Reinforcement Learning
Continuous Control with Deep Reinforcement Learning
Deep Reinforcement Learning based Path Planning for Multi-Arm Manipulator with Moving Obstacle 3
Deep Reinforcement Learning based Path Planning for Multi-Arm Manipulator with Moving Obstacle 3
Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning
Razvan Pascanu - Continual learning for deep learning and deep reinforcement learning
The FASTEST introduction to Reinforcement Learning on the internet
The FASTEST introduction to Reinforcement Learning on the internet
Drone control based on Deep Reinforcement Learning in CEATEC JAPAN 2016
Drone control based on Deep Reinforcement Learning in CEATEC JAPAN 2016

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Last Updated: September 29, 2026

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Classic RL "stops" the world whenever the Agent computes a new action. This paper considers a more realistic scenario where ... Blocking models are compared with The content has not been changed. It has been taken as it is from a peer-reviewed article. Human-level This video features the results of the master thesis about the application of Introduction to the MultiROS simulator. The paper has been published in IEEE CASE 2022 ( case2022.org/). The code ... Accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2021 Link Paper: ... Noga H. Rotman, PhD Student, Hebrew University AI Week Yuval Ne'eman Workshop for Science, Technology and Security Tel ... This video discusses the paper Continuous The video shows agents trained using the Asynchronous Advantage Actor-Critic (A3C) algorithm performing a variety of motor ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Razvan Pascanu (Google ... Related videos - youtube.com/watch?v=y-HkD3Z5cl8&feature=youtu.be ...

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