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Alpha-Park/genpark-q-learning-temporal-difference-agent-skill

Tabular Q-learning temporal difference agent with epsilon-greedy exploration and Bellman state-action updates.

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 11.7
created 2026-09-28
on radar since 2026-10-01
agent-skillsbellman-equationmcp-servermodel-context-protocolmodel-free-rlpythonq-learningq-tablereinforcement-learningtd-learningtemporal-difference
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About genpark-q-learning-temporal-difference-agent-skill

genpark-q-learning-temporal-difference-agent-skill

Tabular Q-learning temporal difference agent with epsilon-greedy exploration and Bellman state-action updates.

Part of the GenPark AI Agent Skills Matrix. Production-ready, zero external dependencies, native Python 3.9+ standard library.

Features - Zero Third-Party Dependencies: Pure Python standard library (math, random). - Optimal Decision Making: Value iteration convergence, Q-learning TD updates, and UCT search. - Native MCP Protocol Support: Integrated JSON-RPC 2.0 stdio server ready for Claude Desktop, Cursor, and Windsurf.

Add to your claudedesktopconfig.json or cursor.json:

License MIT License. Copyright (c) 2026 AlphaPark Inc. & Alpha-Park.

From the project README.

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