Comments (6)
3df4b46 should fix it
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from deepracer-core.
I'm just going to close this, if you still have issues, comment and we can reopen this.
from deepracer-core.
It seems to work thanks.
from deepracer-core.
When I run local training, it is failed after 12 hours with same error message.
In the model folder in minio server, I found exact 200 model files.
The same error occurred twice.
Any advice?
SIM_TRACE_LOG:19999,26,2.7384,-1.1359,-2.0313,0.14,8.00,4,0.0014,False,False,13.7719,15,22.92,1565108136.847502
SIM_TRACE_LOG:19999,27,2.6546,-1.2924,-2.0545,0.00,8.00,3,0.0000,True,False,14.4170,16,22.92,1565108136.9079044
reward: 21.731499599643186
Traceback (most recent call last):
File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/rollout_worker.py", line 303, in <module>
main()
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/rollout_worker.py", line 298, in main
memory_backend_params = memory_backend_params
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/rollout_worker.py", line 169, in rollout_worker
graph_manager.act(EnvironmentEpisodes(num_steps=act_steps))
File "/usr/local/lib/python3.5/dist-packages/rl_coach/graph_managers/graph_manager.py", line 443, in act
result = self.top_level_manager.step(None)
File "/usr/local/lib/python3.5/dist-packages/rl_coach/level_manager.py", line 230, in step
env_response = self.environment.step(action_info.action)
File "/usr/local/lib/python3.5/dist-packages/rl_coach/environments/environment.py", line 299, in step
self._take_action(action)
File "/usr/local/lib/python3.5/dist-packages/rl_coach/environments/gym_environment.py", line 448, in _take_action
self.state, self.reward, self.done, self.info = self.env.step(action)
File "/usr/local/lib/python3.5/dist-packages/gym/wrappers/time_limit.py", line 31, in step
observation, reward, done, info = self.env.step(action)
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_racetrack_env.py", line 566, in step
return super().step([self.steering_angle, self.speed])
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_racetrack_env.py", line 271, in step
self.infer_reward_state(self.steering_angle, self.speed)
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_racetrack_env.py", line 437, in infer_reward_state
self.finish_episode(current_progress)
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_racetrack_env.py", line 473, in finish_episode
self.cancel_simulation_job()
File "/app/robomaker-deepracer/simulation_ws/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_racetrack_env.py", line 518, in cancel_simulation_job
job=self.simulation_job_arn
File "/usr/local/lib/python3.5/dist-packages/botocore/client.py", line 357, in _api_call
return self._make_api_call(operation_name, kwargs)
File "/usr/local/lib/python3.5/dist-packages/botocore/client.py", line 661, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (UnrecognizedClientException) when calling the CancelSimulationJob operation: The security token included in the request is invalid.
from deepracer-core.
I fix the error changing NUMBER_OF_EPISODES
value in robomaker.env
from deepracer-core.
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