Reinforcement Learning

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Frontmatter (12 fields)

{
  "tags": [],
  "type": "framework",
  "aliases": [],
  "context": "Alternative framework for agent behavior; based on reward maximization rather than free energy minimization.",
  "created": "2025-10-20",
  "creator": [],
  "updated": "2025-10-20",
  "category": "ai",
  "enrichment": {
    "is_stale": true
  },
  "mention_count": 0,
  "extracted_type": "framework",
  "source_location": "§1 Introduction"
}

Outgoing (2)

Cites (2)

Bayesian Model-Based Reinforcement Learning(framework)
Q-learning(method)

Incoming (2)

Contradicted by (2)

Active Inference(framework)
Natural exploration-exploitation trade-offs emerge automatically from expected free energy minimization without hyperparameter tuning.(claim)

Mentions (3)

papers-typed
sajid_2021_active_inference_demystified.md
aboutblank
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aboutblank
/Users/antonborzov/GitHub/aboutblank/knowledge_base/concepts/ai/reinforcement-learning.md