Reinforcemnent Learning
Using various Reinforcement Learning algorithms to solve the following 3 problems. Full details can be found in Project Report.pdf.
1. Maze Navigation
How to get from S to G in the Maze, and collect the most number of flags F along the way.
2. Open AI Acrobot (See video result)
How to swing the bot’s arm to reach a certain height.
3. Open AI Mountain Car (See video result)
How to push & pull the car to make it reach the mountain’s top.
How to run
Run these commands in your Terminal:
1. Maze Navigation problem:
1.1 Value iteration algorithm:
python value_iteration.py
1.2 Q-learning algorithm:
python qlearning_maze.py
2. Open AI Acrobot problem:
2.1 Deep reinforcement learning - REINFORCE algorithm with Neural network:
python reinforce_bot.py
2.2 Q-learning algorithm:
python qlearning_gym.py bot
3. Open AI Mountain Car problem:
3.1 Deep reinforcement learning - REINFORCE algorithm with Neural network:
python reinforce_car.py
3.2 Q-learning algorithm:
python qlearning_gym.py car