udacity-deep-reinforcement-learning

Projects I implemented to finish Udacity Nanodegree Programs from Data Engineering to Machine Learning Engineering.

Udacity-Deep Reinforcement Learning Nanodegree. This is the first project of this Nanodegree.

The Repository contains multiple Project on Reinforcement Learning.

My solution notebooks for the Deep Reinforcement Learning Nanodegree by Udacity

The final project for Udacity's Deep Learning Nanodegree. Reinforcement learning is used to teach the quadcopter to take off.

Udacity Deep Reinforcement Learning Nanodegree

Some of my solutions of the exercises and all my projects of the Udacity Deep Reinforcement Learning Nanodegree https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893

Implementation of Multi-Agent Deep Deterministic Policy Gradient (MADDPG) for the Tennis environment in the context of "Collaboration and Competition", the third Udacity Deep Reinforcement Learning Nanodegree project.

Projects from Udacity's Deep Reinforcement Learning Nanodegree course.

Train the model using Multi Agent DDPG of deep reinforcement learning with Tennis Environment in the Unity Agents

Train the model using actor-critic method of deep reinforcement learning with Reacher Environment in the Unity Agents

Repository for work related to Udacity's Deep Reinforcment Learning Nanodegree.

DQN agent which navigates an environment and collects bananas.

Apply Deep Q Learning to teach an agent to navigate in Bananaworld. Udacity Deep Reinforcement Learning Project.

The third project of Udacity Deep Reinforcement Learning Nanodegree

Train the Banana Collector using Deep Reinforcement Learning with Unity Environment

Implementation of Deep Q Network for the Banana environment in the context of "Navigation", the first Udacity Deep Reinforcement Learning Nanodegree project.

Project 1 in the Udacity Deep RL Nano Degree program

A second project of Udacity Deep Reinforcement Learning Nanodegree

Implementation of Deep Deterministic Policy Gradient (DDPG) for the Reacher (20) environment in the context of "Continuous Control", the second Udacity Deep Reinforcement Learning Nanodegree project.