mcp_vs_mdp_explained

对比MRP与MDP的强化学习文档

This document contrasts Markov Reward Processes (MRPs) and Markov Decision Processes (MDPs) in Reinforcement Learning. MRPs model states and rewards (no actions) to evaluate state values (V(s)) via the Bellman equation. MDPs add actions and policies (π) to find optimal strategies (V ∗ ,Q ∗ ) using Bellman optimality equations.

📊 商业分析

🎯 应用场景

📦 安装方式