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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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