There is a UI application which allows you to manually control the agent with the arrow keys:
The environment being run can be selected with the
--env option, eg:
./minigrid/manual_control.py --env MiniGrid-Empty-8x8-v0
Training an Agent#
If you want to train an agent with reinforcement learning, I recommend using the code found in the torch-rl repository. This code has been tested and is known to work with this environment. The default hyper-parameters are also known to converge.
A sample training command is:
cd torch-rl python3 -m scripts.train --env MiniGrid-Empty-8x8-v0 --algo ppo