3 pages

Reinforcement-Learning

Apr 23, 20268 min read

Maximum Entropy Inverse Reinforcement Learning: Understanding the Trajectory Formula

Inverse reinforcement learning (IRL) asks a different question from classical RL: instead of assuming a reward function and learning a policy, you observe expert behavior and infer …

Apr 22, 20268 min read

Markov Decision Processes: The Mathematical Foundation of Reinforcement Learning

The Markov Decision Process (MDP) is the standard formal object for sequential decision-making under uncertainty. It separates problem definition — states, actions, how the world …

Apr 13, 202612 min read

Feasibility Assessment: Q-Learning Suitability for Organizational Decision Systems

Q-learning for production decision systems: when tabular or deep Q-networks (DQN) make sense, state–action limits, stationarity, exploration cost, convergence risks—and when to say …