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Udacity Weekly Webinar DRLND - Continuous Control, Discretization , Deep RL and Taxi example
Udacity DRLND, Multi-Agent Deep Reinforcement Learning for Continuous Control
Udacity DRLND Continuous Control Project
Udacity DRLND, Deep Reinforcement Learning for Continuous Control
Tim Lillicrap - Data efficient deep reinforcement learning for continuous control
Deep Reinforcement Learning, P2: Continuous Control
Deep Reinforcement Learning for Continuous Control using DDPG(Deep Deterministic Policy Gradient)
End-to-End Reinforcement Learning for Multi-Agent Continuous Control
ECE570 - Reinforcement Learning for Continuous Control
DeepRL2.3 - Deep Deterministic Policy Gradient for Continuous Control
Continuous Control with DDPG
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Last Updated: October 20, 2026
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Summary
Introduce the Udacity Deep Reinforcement Learning Project 2: This is the second project of the Deep Reinforcement Learning Nanodegree. I trained a DDPG Agent to solve the Reacher ... In this project, we work with Reacher ... In this project an agent is a two link arm wich end effector will be track an spherical volume in the space. ... up and I'm going to talk today about data data decisions deep reinforcement learning for Agent in "reacher" environment trained to reach the ball using deep reinforcement learning (deep deterministic policy gradient ... Autonomous object avoidance using from raw pixels. In this video the car has learned to avoid objects using the deep ...