This repository contains different implementation of deep reinforcement learning algorithms to solve Unity environments.
Including:
- An improved DQN agent, performing within an environment similar to unity banana.
- A DDPG agent, performing within the Reacher environment.
- Multiple Agents DDPG, playing tennis!
- An AlphaZero agent, which learned TicTacToe (I did not yet documented the implementation).