Emerging & Advanced
Model-Free RL
Reinforcement learning directly learning policies or value functions without modeling environment dynamics.
This concept is essential for understanding emerging & advanced and forms a key part of modern AI systems.
Related Concepts
- Reinforcement Learning
- Q-Learning
- Policy Gradient
Tags
emerging-advanced reinforcement-learning q-learning policy-gradient
Related Terms
Policy Gradient
RL methods that directly optimize the policy by computing gradients of expected reward with respect to policy parameters.
Q-Learning
A model-free RL algorithm that learns action-value functions (Q-values) to determine optimal actions in each state.
Reinforcement Learning
Learning through interaction with an environment, receiving rewards or penalties to learn optimal behavior policies.