Questions tagged [dyna]
For questions related to the reinforcement learning "dyna" architecture.
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Without planning, why does each episode only add one additional step to the policy?
In Sutton & Barto's RL book at page 165 for Example 8.1, they say:
Figure 8.3 shows why the planning agents found the solution so much faster than the nonplanning agent. Shown are the policies ...
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If $\alpha$ decreases over time, why is Q-learning guaranteed to converge?
Q-Learning is guaranteed to converge if $\alpha$ decreases over time.
On page 161 of the RL book by Sutton and Barto, 2nd edition, section 8.1, they write that Dyna-Q is guaranteed to converge if each ...
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How is trajectory sampling different than normal (importance) sampling in reinforcement learning?
I am using Sutton and Barto's book for Reinforcement Learning.
In Chapter 8, I am having difficulty in understanding the Trajectory Sampling.
I have read the particular section on trajectory sampling (...
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How do I know if the assumption of a static environment is made?
An important property of a reinforcement learning problem is whether the environment of the agent is static, which means that nothing changes if the agent remains inactive. Different learning methods ...
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Eligibility trace In Model-based Reinforcement Learning
In model-based reinforcement learning algorithms, the model of the environment is constructed to efficiently use samples, models such as Dyna, and Prioritize Sweeping. Moreover, eligibility trace ...
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