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4. Strategic Learning
2022-07-08 01:14:00 【C--G】
Policy Gradient with Baseline
Policy Gradient
- BaseLine


- Monte Carlo Approximation



- Choices of Baselines
Choice 1: b=0
**Choice 2:b is state-value **
- b = VΠ(St)




- Policy Network

- Value Network

- Parameter Sharing

Reinforce with Baseline
- Updating the policy network



Advantage Actor-Critic(A2C)



Reinforce versus A2C
The network structure of the two is almost the same , Different value networks 
A2C with Multi-Step TD Target
one tep

Multi step
Reinforce with Baseline

versus


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