A2C/PPO with continuous action space

• Deep-Reinforcement-Learning-Hands-On

  2 2,746 0.0 Python

  Hands-on Deep Reinforcement Learning, published by Packt

  

In some methods, like the one here, the actor network has two heads, one for the mean and one for the variance. In other methods, like the one here, the network only outputs the mean, while the variance is pre-defined and is decaying throughout the training.

• PPO-PyTorch

  2 1,472 2.8 Python

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

In some methods, like the one here, the actor network has two heads, one for the mean and one for the variance. In other methods, like the one here, the network only outputs the mean, while the variance is pre-defined and is decaying throughout the training.

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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