Reinforcement-Learning 🤖

1. frozen-lake-model_free: Solving the frozen Lake (non-slippery) environment using:

   • Monte Carlo
   • SARSA
   • Epsilon-Greedy SARSA

2. space-invaders-dqn:
   This folder contains the basic setup for a DQN agent for the Space Invaders environment.

3. space-invaders-double-dqn:
   This folder features a Double DQN implementation for the Space Invaders game. It performs better than a single-Q network and converges faster too.

4. car-racing-double-dqcnn:
   This folder contains the implementation of a Double DQCNN (Deep Q-Convolutional Neural Network) agent for the Car Racing environment. The agent is still struggling to learn effectively so some minor bugs need to be fixed.