[es_distributed/rs.py] eval_rews, eval_length = policy.rollout(env) ValueError: too many values to unpack (expected 2)

[dragon28]

Hello People,

I am getting the following error when I run . scripts/local_run_exp.sh rs configurations/frostbite_ga.json, which is the RS experiment

Traceback (most recent call last):
  File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/dragon/machine_learning/deep-neuroevolution/es_distributed/main.py", line 90, in <module>
    cli()
  File "/home/dragon/.local/lib/python3.6/site-packages/click/core.py", line 764, in __call__
    return self.main(*args, **kwargs)
  File "/home/dragon/.local/lib/python3.6/site-packages/click/core.py", line 717, in main
    rv = self.invoke(ctx)
  File "/home/dragon/.local/lib/python3.6/site-packages/click/core.py", line 1137, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/dragon/.local/lib/python3.6/site-packages/click/core.py", line 956, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/dragon/.local/lib/python3.6/site-packages/click/core.py", line 555, in invoke
    return callback(*args, **kwargs)
  File "/home/dragon/machine_learning/deep-neuroevolution/es_distributed/main.py", line 84, in workers
    algo.run_worker(master_redis_cfg, relay_redis_cfg, noise=noise)
  File "/home/dragon/machine_learning/deep-neuroevolution/es_distributed/rs.py", line 190, in run_worker
    eval_rews, eval_length = policy.rollout(env)  # eval rollouts don't obey task_data.timestep_limit
ValueError: too many values to unpack (expected 2)

and I managed to fixed it by changing the following code:

from

deep-neuroevolution/es_distributed/rs.py, line 190:

eval_rews, eval_length = policy.rollout(env) # eval rollouts don't obey task_data.timestep_limit

to:

deep-neuroevolution/es_distributed/rs.py, line 190:

eval_rews, eval_length, _ = policy.rollout(env) # eval rollouts don't obey task_data.timestep_limit

My environment information:
Ubuntu 18.04 x64
Python 3.6.8
tensorflow 1.13.1
Click 7.0
atari-py 0.1.15
numpy 1.16.3
gym 0.12.1
baselines 0.1.5

Thanks