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Release 0.9

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Main changes are detailed below:

New features -
* CARLA 0.7 simulator integration
* Human control of the game play
* Recording of human game play and storing / loading the replay buffer
* Behavioral cloning agent and presets
* Golden tests for several presets
* Selecting between deep / shallow image embedders
* Rendering through pygame (with some boost in performance)

API changes -
* Improved environment wrapper API
* Added an evaluate flag to allow convenient evaluation of existing checkpoints
* Improve frameskip definition in Gym

Bug fixes -
* Fixed loading of checkpoints for agents with more than one network
* Fixed the N Step Q learning agent python3 compatibility
This commit is contained in:
Itai Caspi
2017-12-19 19:27:16 +02:00
committed by GitHub
parent 11faf19649
commit 125c7ee38d
41 changed files with 1713 additions and 260 deletions
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2
docs/mkdocs.yml
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@@ -11,6 +11,7 @@ extra_css: [extra.css]
pages:
- Home : index.md
- Design: design.md
- Usage: usage.md
- Algorithms:
- 'DQN' : algorithms/value_optimization/dqn.md
- 'Double DQN' : algorithms/value_optimization/double_dqn.md
@@ -28,6 +29,7 @@ pages:
- 'Proximal Policy Optimization' : algorithms/policy_optimization/ppo.md
- 'Clipped Proximal Policy Optimization' : algorithms/policy_optimization/cppo.md
- 'Direct Future Prediction' : algorithms/other/dfp.md
- 'Behavioral Cloning' : algorithms/imitation/bc.md
- Coach Dashboard : 'dashboard.md'
- Contributing :