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· shelf ml/rl
1 bookmark tagged ml/rl
article
·
naklecha on Notion
·
15 min
a reinforcement learning guide
An introductory reinforcement learning guide that builds concepts from first principles using chess and Dota2 as running examples. It covers value functions, the discount factor, and the impracticality of brute-force tree search in games with large branching factors, motivating the need for more sophisticated RL algorithms.
ml
rl
foundations
2026-09-04