RL_algorithms

In this folder, I will add different examples of basic RL algorithms (Q-learning, DQN, Actor-Critic, multi-agent, etc)

1- Q_learning-FrozenLake-v1

This is the code from HuggingFace Deep Learning course, to learn Q-learning with the FrozenLake-v1 gym environment.

2- DQN-Cartpole-v1

4- Policy Gradient Mountain_Car

5- Proximal Policy Optimization LunarLander-v2

Reciprocal Velocity Obstacle Avoidance for Multi-Agent Systems