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Policy gradient methods are a class of reinforcement learning algorithms and a sub-class of policy optimization methods. Unlike value-based methods which learn a value function to derive a policy, policy optimization methods directly learn a policy function π {\displaystyle \pi } that selects actions without consulting a value function. For policy…
Proximal Policy Optimization (PPO), REINFORCE & Natural policy gradient
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Policy gradient method | is a | stochastic estimation of the policy gradient | 0.90 | text |
| Policy gradient method | is a | variant of the policy gradient method | 0.90 | text |
| Policy gradient method | related to Natural policy gradient | The | 0.60 | section |
| Policy gradient method | related to Natural policy gradient | Sham Kakade | 0.60 | section |
| Policy gradient method | related to Natural policy gradient | Unlike | 0.60 | section |
| Policy gradient method | related to Policy gradient | The REINFORCE | 0.60 | section |
| Policy gradient method | related to Policy gradient | Ronald | 0.60 | section |
| Policy gradient method | related to Policy gradient | Williams | 0.60 | section |
| Policy gradient method | related to Policy gradient | It | 0.60 | section |
| Policy gradient method | related to Policy gradient | Big | 0.60 | section |
| Policy gradient method | related to Policy gradient | Lemma | 0.60 | section |
| Policy gradient method | related to Policy gradient | The | 0.60 | section |
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