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SAC algorithm (#282)

* SAC algorithm

* SAC - updates to agent (learn_from_batch), sac_head and sac_q_head to fix problem in gradient calculation. Now SAC agents is able to train.
gym_environment - fixing an error in access to gym.spaces

* Soft Actor Critic - code cleanup

* code cleanup

* V-head initialization fix

* SAC benchmarks

* SAC Documentation

* typo fix

* documentation fixes

* documentation and version update

* README typo
This commit is contained in:
guyk1971
2019-05-01 18:37:49 +03:00
committed by shadiendrawis
parent 33dc29ee99
commit 74db141d5e
92 changed files with 2812 additions and 402 deletions

View File

@@ -37,6 +37,7 @@ The environments that were used for testing include:
|**[ACER](acer)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Atari | |
|**[Clipped PPO](clipped_ppo)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Mujoco | |
|**[DDPG](ddpg)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Mujoco | |
|**[SAC](sac)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Mujoco | |
|**[NEC](nec)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Atari | |
|**[HER](ddpg_her)** | ![#2E8B57](https://placehold.it/15/2E8B57/000000?text=+) |Fetch | |
|**[DFP](dfp)** | ![#ceffad](https://placehold.it/15/ceffad/000000?text=+) |Doom | Doom Battle was not verified |