All Questions
3 questions
0
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Which paper describes the effect of learning_starts in Reinforcement Learning?
I have seen many popular RL libraries have a learning_start parameter. This allows the agent to collect enough experiences before training on the replay_buffer. However, I am unable to find the paper ...
- 670
3
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1
answer
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How should I choose the target's update frequency in DQN?
I have been dealing with a problem that I'm trying to solve with DQN. A general question that I have is regarding the target's update frequency. How should it change? Depending on what factor do we ...
1
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0
answers
614
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Why is the $\epsilon$ hyper-parameter (in the $\epsilon$-greedy policy) annealed smoothly?
As far as I understand, RL is a process that can be divided into 2 stages:
Exploring a wide range of paths (acting randomly)
Refining the current optimal paths (revolving around actions with a so-...
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