Release

Author: James Bockman

src/acrl/agent.py

@@ -20,7 +20,6 @@
 )
 from acrl.utils.state import EnvironmentState
 from acrl.utils.warmup import SpeedRewardWarmUp
-
 import numpy as np
 import torch
 import wandb
@@ -200,7 +199,6 @@ def setup(self):
         self._setup_checkpointer()
         self._setup_reward_warmup()
 
-
     def _unpack_config(self):
         self._n_step_buffer_states = self.cfg["sac"]["n_steps"]
         self._start_steps = self.cfg["training"]["start_steps"]
@@ -260,4 +258,3 @@ def _setup_reward_warmup(self):
         config = self.cfg["training"]["speed_reward_warmup"]
         self._reward_warmup = SpeedRewardWarmUp(config)
         self._maximum_speed = config["max_speed_reward"]["final"]
-