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[ci skip] 2.0.0 release
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araffin committed Sep 18, 2018
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17 changes: 11 additions & 6 deletions docs/misc/changelog.rst
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Expand Up @@ -5,11 +5,20 @@ Changelog

For download links, please look at `Github release page <https://github.com/hill-a/stable-baselines/releases>`_.

Master version 2.0.0.rc0 (TO BE RELEASED SOON)
-----------------------------------------------
Release 2.0.0 (2018-09-18)
--------------------------

.. warning::

This version contains breaking changes, please read the full details

**Tensorboard, refactoring and bug fixes**


- Renamed DeepQ to DQN **breaking changes**
- Renamed DeepQPolicy to DQNPolicy **breaking changes**
- fixed DDPG behavior **breaking changes**
- changed default policies for DDPG, so that DDPG now works correctly **breaking changes**
- added more documentation (some modules from common).
- added doc about using custom env
- added Tensorboard support for A2C, ACER, ACKTR, DDPG, DeepQ, PPO1, PPO2 and TRPO
Expand All @@ -20,8 +29,6 @@ Master version 2.0.0.rc0 (TO BE RELEASED SOON)
- fixed PPO1 and TRPO done values for recurrent policies
- fixed image normalization not occurring when using images
- updated VecEnv objects for the new Gym version
- changed default policies for DDPG, so that DDPG now works correctly
- fixed DDPG behavior
- added test for DDPG
- refactored DQN policies
- added registry for policies, can be passed as string to the agent
Expand All @@ -33,8 +40,6 @@ Master version 2.0.0.rc0 (TO BE RELEASED SOON)
- added assert in PPO2 for recurrent policies
- fixed predict function to handle both vectorized and unwrapped environment
- added input check to the predict function
- changed DeepQ to DQN **breaking changes**
- changed DeepQPolicy to DQNPolicy **breaking changes**
- refactored ActorCritic models to reduce code duplication
- refactored Off Policy models (to begin HER and replay_buffer refactoring)
- added tests for auto vectorization detection
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2 changes: 1 addition & 1 deletion stable_baselines/__init__.py
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from stable_baselines.ppo2 import PPO2
from stable_baselines.trpo_mpi import TRPO

__version__ = "2.0.0.rc0"
__version__ = "2.0.0"

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