Files
tensorneat-mend/problem/rl_env/gymnax_env.py
2023-08-04 17:29:36 +08:00

43 lines
1.2 KiB
Python

from dataclasses import dataclass
from typing import Callable
import jax
import jax.numpy as jnp
import gymnax
from core import State
from .rl_env import RLEnv, RLEnvConfig
@dataclass(frozen=True)
class GymNaxConfig(RLEnvConfig):
env_name: str = "CartPole-v1"
def __post_init__(self):
assert self.env_name in gymnax.registered_envs, f"Env {self.env_name} not registered"
class GymNaxEnv(RLEnv):
def __init__(self, config: GymNaxConfig = GymNaxConfig()):
super().__init__(config)
self.config = config
self.env, self.env_params = gymnax.make(config.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: State, act_func: Callable, params):
raise NotImplementedError("GymNax render must rely on gym 0.19.0(old version).")