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[rllib] Fix crash when setting horizon in multiagent

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If a horizon is set, an env terminates without done=True.
This commit is contained in:
Eric Liang
2018-08-03 16:37:56 -07:00
committed by GitHub
parent d5dda1ebf2
commit 9449d07eca
3 changed files with 17 additions and 2 deletions
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doc/source/rllib-training.rst
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@@ -36,7 +36,7 @@ The ``train.py`` script has a number of options you can show by running
The most important options are for choosing the environment
with ``--env`` (any OpenAI gym environment including ones registered by the user
can be used) and for choosing the algorithm with ``--run``
(available options are ``PPO``, ``PG``, ``A3C``, ``ES``, ``DDPG``, ``DDPG2``, ``DQN``, ``APEX``, and ``APEX_DDPG``).
(available options are ``PPO``, ``PG``, ``A3C``, ``IMPALA``, ``ES``, ``DDPG``, ``DQN``, ``APEX``, and ``APEX_DDPG``).
Specifying Parameters
~~~~~~~~~~~~~~~~~~~~~