Questions tagged [exploration-strategies]

For questions about exploration strategies (or techniques) used in reinforcement learning or bandit problems. Examples of exploration strategies are random strategy, $\epsilon$-greedy, greedy (no exploration), Upper Confidence Bound (UCB), or Thompson sampling.

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In addition to the reward function, which other functions do I need to implement Q-learning?

In general, $Q$ function is defined as $$Q : S \times A \rightarrow \mathbb{R}$$ $$Q(s_t,a_t) = Q(s_t,a_t) + \alpha[r_{t+1} + \gamma \max\limits_{a} Q(s_{t+1},a) - Q(s_t,a_t)] $$ $\alpha$ and $\gamma$...