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from typing import Any, Dict, List
import numpy as np
from rl_algo_impls.wrappers.vectorable_wrapper import (
VecEnvObs,
VecEnvStepReturn,
VecotarableWrapper,
)
class MicrortsStatsRecorder(VecotarableWrapper):
def __init__(self, env, gamma: float) -> None:
super().__init__(env)
self.gamma = gamma
self.raw_rewards = [[] for _ in range(self.num_envs)]
def reset(self) -> VecEnvObs:
obs = super().reset()
self.raw_rewards = [[] for _ in range(self.num_envs)]
return obs
def step(self, actions: np.ndarray) -> VecEnvStepReturn:
obs, rews, dones, infos = self.env.step(actions)
self._update_infos(infos, dones)
return obs, rews, dones, infos
def _update_infos(self, infos: List[Dict[str, Any]], dones: np.ndarray) -> None:
for idx, info in enumerate(infos):
self.raw_rewards[idx].append(info["raw_rewards"])
for idx, (info, done) in enumerate(zip(infos, dones)):
if done:
raw_rewards = np.array(self.raw_rewards[idx]).sum(0)
raw_names = [str(rf) for rf in self.env.unwrapped.rfs]
info["microrts_stats"] = dict(zip(raw_names, raw_rewards))
self.raw_rewards[idx] = []
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