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Policy Gradients to PPO

From REINFORCE to proximal policy optimization. Policy gradients, baselines, advantage estimation, GAE, importance ratios, and the clipped objective that makes PPO stable.

12 problems

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Problems

Policy Gradient Loss
rl-041Reinforcement Learning
Easy
Advantage Function
rl-028Reinforcement Learning
Easy
Entropy Bonus
rl-042Reinforcement Learning
Easy
PPO Clip Fraction Diagnostics
rl-180Reinforcement Learning
Easy
A2C Advantage Normalization
rl-045Reinforcement Learning
Medium
REINFORCE Baseline Advantage
rl-068Reinforcement Learning
Medium
GAE One Step
rl-029Reinforcement Learning
Medium
PPO Value Clip
rl-054Reinforcement Learning
Medium
PPO Advantage Estimate
rl-178Reinforcement Learning
Medium
PPO Clipped Objective
dl-182Deep Learning
Hard
GAE Full Vector
rl-053Reinforcement Learning
Hard
Actor-Critic Update
rl-044Reinforcement Learning
Hard