September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Deep Deterministic Policy Gradients
Deep Deterministic Policy Gradients (DDPG) is a policy-gradient algorithm that adopts a stochastic behavior policy for exploration. This algorithm estimates a deterministic target policy, which is much easier to learn. Policy-gradient algorithms use the following policy iteration:
- Evaluate the policy
- Then, follow the policy gradient to maximize performance
DDPG is out of policy and uses a deterministic target policy, and for these reasons the use of the Deterministic Policy Gradient theorem is allowed. DDPG is also a critical algorithm-actor; it mainly uses two neural networks: one for the actor and one for the critic. These networks calculate the action forecasts for the current state and generate a ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.