This repository contains reinforcement learning projects using the gymnasium library by OpenAI.
The environment consists of a car placed at the bottom of a valley, with the only possible actions being the accelerations that can be applied to the car in either direction. The goal of the agent is to strategically accelerate the car to reach the goal state on top of the right hill.
The environment consists of a classical game of Blackjack. Blackjack is a card game where the goal is to beat the dealer by obtaining cards that sum to closer to 21 (without going over 21) than the dealers cards.
Frozen lake involves crossing a frozen lake from start to goal without falling into any holes by walking over the frozen lake. The player may not always move in the intended direction due to the slippery nature of the frozen lake.
The environment contains a racetrack and a car. The agent has to control the racing car and complete one lap.
