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kengz/SLM-Lab: v4.0.1: Soft Actor-Critic

Authors: Wah Loon Keng; Graesser, Laura; Allan-Avatar1; Snyk Bot; Gillen, Sean; Rahim16; Cvitkovic, Milan; +1 Authors

kengz/SLM-Lab: v4.0.1: Soft Actor-Critic

Abstract

This release adds a new algorithm: Soft Actor-Critic (SAC). Soft Actor-Critic -implement the original paper: "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor" https://arxiv.org/abs/1801.01290 #398 implement the improvement of SAC paper: "Soft Actor-Critic Algorithms and Applications" https://arxiv.org/abs/1812.05905 #399 extend SAC to work directly for discrete environment using GumbelSoftmax distribution (custom) Roboschool (continuous control) Benchmark Note that the Roboschool reward scales are different from MuJoCo's. Env. \ Alg. SAC RoboschoolAnt 2451.55 <details><summary><i>graph</i></summary><img src="https://user-images.githubusercontent.com/8209263/62837481-c1eead80-bc24-11e9-913e-7685d64ecf87.png"></details> RoboschoolHalfCheetah 2004.27 <details><summary><i>graph</i></summary><img src="https://user-images.githubusercontent.com/8209263/62837485-daf75e80-bc24-11e9-8fba-279802ccdd1d.png"></details> RoboschoolHopper 2090.52 <details><summary><i>graph</i></summary><img src="https://user-images.githubusercontent.com/8209263/62837491-e8144d80-bc24-11e9-9d06-27a35b4aacca.png"></details> RoboschoolWalker2d 1711.92 <details><summary><i>graph</i></summary><img src="https://user-images.githubusercontent.com/8209263/62837495-f2364c00-bc24-11e9-8bdc-fa88831c227b.png"></details> LunarLander (discrete control) Benchmark Trial graph Moving average

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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