This repository contains project files for Udacity's Deep Reinforcement Learning Nanodegree program
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.
For this project, we train an agent to navigate and collect bananas in a large, square world using Deep Q-Network (DQN).
For this project, we train a double-jointed arm agent to follow a target location using Deeo Distributed Policy Gradient (DDPG).
For this project, we train a pair of agents to play tennis using DDPG with shared replay buffer.