A vectorized implementation of PPO for use with RLGym.
- install RLGym-sim.
- If you would like to use a GPU install PyTorch with CUDA
- Install this project via
pip install git+https://github.com/AechPro/rlgym-ppo
Simply import the learner with from rlgym_ppo import Learner, pass it a function that will return an RLGym environment
and run the learning algorithm. A simple example follows:
from rlgym_ppo import Learner
def my_rlgym_function():
import rlgym_sim
return rlgym_sim.make()
learner = Learner(my_rlgym_env_function)
learner.learn()
Note that users must implement a function to configure Rocket League (or RocketSim) in RLGym that returns an
RLGym environment. See the example.py file for an example of writing such a function.