Tag: reinforcement-learning

All the articles with the tag "reinforcement-learning".

• Designing environments for RL

  Published: 29 May, 2026 |  at  11:00 AM

  Most RL writing is about algorithms. In practice, environment design — the state, action, and reward decisions that sit between your system and the algorithm — is where projects succeed or fail. This is the part that almost never gets covered.

• An introduction to reinforcement learning

  Published: 29 May, 2026 |  at  10:00 AM

  The orientation for working engineers before the rest of the series goes into algorithm internals. What RL is, the vocabulary, the Bellman idea, when to reach for it, and a map of the five posts.

• Inside the Bellman loop: how value actually propagates

  Published: 27 May, 2026 |  at  07:00 PM

  Bellman equations are usually introduced recursively, and the recursion misleads programmers. The runtime is closer to iterative graph relaxation — value sweeping backward through a state graph until it stops moving.