Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
best policy, but it also needs to exploit its current knowledge to maximize its expected reward. This tradeoff is often addressed using an exploration strategy, such as epsilon-greedy or Thompson sampling, that balances exploration and exploitation. Overall, the agent is the central component of a