Udacity Deep Reinforcement Learning Continuous

Code + Explanation : https://github.com/antoniopenta/deep_reinforcement_learning/tree/master/drl_continous_control.

The second project of the

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In this project an agent is a two link arm wich end effector will be track an spherical volume in the space.

Agent trained to fetch the yellow bananas and avoid the blue ones, using the DQN algorithm discussed in this paper.

In this project a

Udacity Deep Reinforcement Learning Nanodegree - Navigation

Deep RL:

Details at: https://github.com/amiravni/UDACITY_DRL_P1.

Code + Explanation : https://github.com/antoniopenta/deep_reinforcement_learning/tree/master/drl_navigation.

The first project of the

Deep Reinforcement Learning

Details at: https://github.com/amiravni/UDACITY_DRL_P2.

Project 2 of

DRL - Multi-Agent DDPG Algorithm - Tennis Collaboration Using the Unity agent/environment "Tennis", this

This video is part of the

This video gives an overview of methods for

In this Webinar we cover