Files
tensorneat-mend/problem/rl_env/gymnax_env.py
2024-02-21 15:41:08 +08:00

29 lines
860 B
Python

import gymnax
from .rl_jit import RLEnv
class GymNaxEnv(RLEnv):
def __init__(self, env_name):
super().__init__()
assert env_name in gymnax.registered_envs, f"Env {env_name} not registered"
self.env, self.env_params = gymnax.make(env_name)
def env_step(self, randkey, env_state, action):
return self.env.step(randkey, env_state, action, self.env_params)
def env_reset(self, randkey):
return self.env.reset(randkey, self.env_params)
@property
def input_shape(self):
return self.env.observation_space(self.env_params).shape
@property
def output_shape(self):
return self.env.action_space(self.env_params).shape
def show(self, randkey, state, act_func, params, *args, **kwargs):
raise NotImplementedError("GymNax render must rely on gym 0.19.0(old version).")