ValueError: pvals < 0, pvals > 1 or pvals contains NaNs

[pirate-lofy]

After executing the code and Carla starts, it gives me an error... this is the full log `Traceback (most recent call last): File "run_RL.py", line 89, in args.host, args.port) File "/media/bignrz/World/carla simulator/CARLA_0.8.2/PythonClient/carla/driving_benchmark/driving_benchmark.py", line 294, in run_driving_benchmark benchmark_summary = benchmark.benchmark_agent(experiment_suite, agent, client) File "/media/bignrz/World/carla simulator/CARLA_0.8.2/PythonClient/carla/driving_benchmark/driving_benchmark.py", line 129, in benchmark_agent

• '.' + str(end_index)) File "/media/bignrz/World/carla simulator/CARLA_0.8.2/PythonClient/carla/driving_benchmark/driving_benchmark.py", line 227, in _run_navigation_episode control = agent.run_step(measurements, sensor_data, directions, target) File "/media/bignrz/World/projects/carla RL envs/reinforcement-learning/agent/runnable_model.py", line 35, in run_step action_idx = self.actor.act(obs_preprocessed=obs_preprocessed) File "/media/bignrz/World/projects/carla RL envs/reinforcement-learning/agent/asyncrl/a3c.py", line 49, in act action = pout.action_indices[0] File "/home/bignrz/.local/lib/python3.6/site-packages/cached_property.py", line 35, in get value = obj.dict[self.func.name] = self.func(obj) File "/media/bignrz/World/projects/carla RL envs/reinforcement-learning/agent/asyncrl/policy_output.py", line 51, in action_indices return _sample_discrete_actions(self.probs.data) File "/media/bignrz/World/projects/carla RL envs/reinforcement-learning/agent/asyncrl/policy_output.py", line 27, in _sample_discrete_actions histogram = np.random.multinomial(1, batch_probs[i]) File "mtrand.pyx", line 4199, in numpy.random.mtrand.RandomState.multinomial File "_common.pyx", line 324, in numpy.random._common.check_array_constraint ValueError: pvals < 0, pvals > 1 or pvals contains NaNs ` any help please.

[d34dl0ckk]

Check closed issue #17