Easily create custom RL environments for Gymnasium
Project description
EasyRLEnv
Easily create custom RL environments with minimal boilerplate.
Installation
pip install easy-rl-env
Example
from easy_rl_env import EasyEnv
class MyCustomEnv(EasyEnv):
def __init__(self):
super().__init__(observation_shape=(4,), action_shape=(2,), discrete=True)
def reset(self):
self.state = [0, 0, 0, 0]
return self.state, {}
def step(self, action):
reward = 1 if action == 0 else -1
done = False
return self.state, reward, done, {}
License
MIT
Project details
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