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

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

Details

External ID
1391799436
Source
GITHUB
Company
—
Product
genpark-q-learning-temporal-difference-rl-skill
Website domain
github.com
Launched
Sept. 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, bellman-equation, mcp-server, model-context-protocol, model-free-rl, python, q-learning, q-table, reinforcement-learning, td-learning, temporal-difference
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
tabular q-learning agent implementation for reinforcement learning
Manually corrected
False

Could you build this?

Yes Tabular Q-learning with epsilon-greedy exploration and Bellman updates is introductory reinforcement learning code that AI assistants generate flawlessly.

Competitors

Other products that read as similar to this one — 1631 launches clear the similarity bar, closest 8 shown.

Attention rank: #1392 of 1632 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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