{
  "id": "1507.08750",
  "title": "Action-Conditional Video Prediction using Deep Networks in Atari Games",
  "authors": "Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard Lewis, Satinder Singh",
  "first_public": "2015-07-31",
  "first_public_source": "https://arxiv.org/abs/1507.08750",
  "venue": "NeurIPS 2015",
  "arxiv": "1507.08750",
  "paper_url": "https://arxiv.org/abs/1507.08750",
  "lens": [
    "interactive-worlds"
  ],
  "related_terms": [
    "action-conditioned video prediction",
    "visual dynamics",
    "Atari",
    "learned simulator"
  ],
  "summary": "Learns to predict Atari frames from past observations and control inputs, connecting visual generation to an agent's actions.",
  "contribution": "Develops feedforward and recurrent architectures with action-dependent transformations and evaluates long visual rollouts and their usefulness for control.",
  "limitations": "The experiments use Atari games.",
  "model_output": "Predicted game frames.",
  "action_interface": "Discrete Atari control actions.",
  "state_memory": "Past observations; the recurrent variant carries a hidden state through time.",
  "relationship": "Earlier action-conditioned visual-prediction work cited in NeuralOS's introduction and references.",
  "relationship_source": "https://arxiv.org/html/2507.08800v1",
  "author_names": [
    "Junhyuk Oh",
    "Xiaoxiao Guo",
    "Honglak Lee",
    "Richard Lewis",
    "Satinder Singh"
  ],
  "record_url": "https://neural-os.com/reading-list/papers/1507.08750/",
  "legacy_record_url": "https://neural-os.com/reading-list/papers/#paper-1507-08750",
  "citation_date": "2015-07-31",
  "json_url": "https://neural-os.com/reading-list/papers/1507.08750/record.json",
  "markdown_url": "https://neural-os.com/reading-list/papers/1507.08750/index.md",
  "bibtex_url": "https://neural-os.com/reading-list/papers/1507.08750/citation.bib",
  "csl_url": "https://neural-os.com/reading-list/papers/1507.08750/citation.csl.json"
}