July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Off-policy learning
As we know, in the case of off-policy learning, the agent follows a behavioral policy that is different from the policy that the agent is trying to optimize. Just to remind you, Q-learning, which we discussed in Chapter 6, Implementing an Intelligent Agent for Optimal Discrete Control Using Deep Q-Learning, along with several extensions, is also an off-policy algorithm. Let's denote the behavior policy using 
. Then, we can write the objective function of the agent to be the total advantage over the state-visitation distribution and actions given by the following:
Here, is the policy parameters before the update and ...
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