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SAC algorithm (#282)

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* 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
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benchmarks/ddpg/README.md
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@@ -1,6 +1,6 @@
# DDPG
Each experiment uses 3 seeds and is trained for 2k environment steps.
Each experiment uses 3 seeds and is trained for 2M environment steps.
The parameters used for DDPG are the same parameters as described in the [original paper](https://arxiv.org/abs/1509.02971).
### Inverted Pendulum DDPG - single worker