Grokking Deep Reinforcement Learning

4 Balancing the gathering and use of information

In this chapter

• You will learn about the challenges of learning from evaluative feedback and how to properly balance the gathering and utilization of information.
• You will develop exploration strategies that accumulate low levels of regret in problems with unknown transition function and reward signals.
• You will write code with trial-and-error learning agents that learn to optimize their behavior through their own experiences in many-options, one-choice environments known as multi-armed bandits.

Uncertainty and expectation are the joys of life. Security is an insipid thing.

— William Congreve English playwright and poet of the Restoration period and political figure in the British Whig Party ...