Deep Reinforcement Learning Nanodegree Udacity

This repository contains project files for Udacity's Deep Reinforcement Learning Nanodegree program

Projects

Reinforcement Learning

P0_Taxi

For this project, we use OpenAI Gym Taxi-v2 environment to design an algorithm to teach a taxi agent to navigate a small gridworld using Reinforcement Learning methods.

Navigation

P1_Navigation

For this project, we train an agent to navigate and collect bananas in a large, square world using Deep Q-Network (DQN).

Continuous Control

P2_Continuous Control

For this project, we train a double-jointed arm agent to follow a target location using Deeo Distributed Policy Gradient (DDPG).

Collaboration and Competition

P3_Collaboration Competition

For this project, we train a pair of agents to play tennis using DDPG with shared replay buffer.