Reinforcement Learning By A Staff Writer / July 10, 2025 Welcome to your Reinforcement Learning Level: Expert What is the primary goal of an agent in reinforcement learning? Minimize the number of actions Maximize cumulative rewards over time Memorize all possible states Avoid exploration None What does Q in Q-learning represent? Quantity Quality of actions Quasi-optimal policy Quick decisions None What is the key difference between policy-based and value-based methods? Policy-based methods directly learn the policy Value-based methods optimize rewards indirectly Value-based methods require labeled data Policy-based methods are non-iterative None Which exploration technique balances exploration and exploitation? Greedy Search Epsilon-Greedy Random Sampling Gradient Descent None What is the primary challenge of reinforcement learning? Overfitting Balancing exploration and exploitation Data cleaning Feature engineering None Time's up