◐ learning · kind algorithm · level 1 · 10h
- Implementa: Reinforcement Learning
Learns an action-value table by bootstrapping from the Bellman equation, off-policy. The classic entry point to value-based RL.
Q-learning is a Reinforcement Learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring a model of the environment (model-free). It can handle problems with stochastic transitions and rewards without requiring adaptations.
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- Implementa: Reinforcement Learning