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Value Function Approximation

Value function approximation replaces a huge table of values with a small set of parameters that can generalize across similar states.

#reinforcement learning#value function approximation#linear function approximator+12
⚙️AlgorithmIntermediate

PPO & Trust Region Methods

Proximal Policy Optimization (PPO) stabilizes policy gradient learning by preventing each update from moving the policy too far from the previous one.

Intermediate
Advanced
Filtering by:
#actor-critic
Group:
Reinforcement Learning Mathematics
#ppo
#trust region
#trpo
+11
📚TheoryAdvanced

Policy Gradient Theorem

The policy gradient theorem tells us how to push a stochastic policy’s parameters to increase expected return by following the gradient of expected rewards.

#policy gradient#reinforce#actor-critic+11