home / team-science

paper_author

Authorship on a paper (1-based position). corresponding_email only if printed; currently all null (no harvested contact).

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

13 rows where author_id = "openalex:A5051619646"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: position

Link lom_id author_id position source corresponding_email
arxiv:1803.08884,openalex:A5051619646 Inequity aversion improves cooperation in intertemporal social dilemmas arxiv:1803.08884 openalex:A5051619646 12 openalex  
arxiv:1903.00742,openalex:A5051619646 Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research arxiv:1903.00742 openalex:A5051619646 4 openalex  
arxiv:2012.08630,openalex:A5051619646 Open Problems in Cooperative AI arxiv:2012.08630 openalex:A5051619646 8 openalex  
doi:10.1038/nature16961,openalex:A5051619646 Mastering the game of Go with deep neural networks and tree search doi:10.1038/nature16961 openalex:A5051619646 19 openalex  
doi:10.1038/nature24270,openalex:A5051619646 Mastering the game of Go without human knowledge doi:10.1038/nature24270 openalex:A5051619646 16 openalex  
doi:10.1126/science.aar6404,openalex:A5051619646 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play doi:10.1126/science.aar6404 openalex:A5051619646 10 openalex  
doi:10.1126/science.aau6249,openalex:A5051619646 Human-level performance in 3D multiplayer games with population-based reinforcement learning doi:10.1126/science.aau6249 openalex:A5051619646 18 openalex  
doi:10.1126/scirobotics.abo0235,openalex:A5051619646 From motor control to team play in simulated humanoid football doi:10.1126/scirobotics.abo0235 openalex:A5051619646 21 openalex  
doi:10.5555/3091125.3091194,openalex:A5051619646 Multi-agent Reinforcement Learning in Sequential Social Dilemmas doi:10.5555/3091125.3091194 openalex:A5051619646 5 openalex  
doi:10.65109/dbto3701,openalex:A5051619646 A Generalised Method for Empirical Game Theoretic Analysis doi:10.65109/dbto3701 openalex:A5051619646 5 openalex  
doi:10.65109/fdir9565,openalex:A5051619646 Malthusian Reinforcement Learning doi:10.65109/fdir9565 openalex:A5051619646 9 openalex  
openalex:W2963689090,openalex:A5051619646 A multi-agent reinforcement learning model of common-pool resource appropriation openalex:W2963689090 openalex:A5051619646 6 openalex  
openalex:W2963836708,openalex:A5051619646 Open-ended learning in symmetric zero-sum games openalex:W2963836708 openalex:A5051619646 7 openalex  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE paper_author (
  lom_id               TEXT NOT NULL REFERENCES paper(lom_id),
  author_id            TEXT NOT NULL REFERENCES author(author_id),
  position             INTEGER NOT NULL CHECK (position >= 1),
  source               TEXT NOT NULL DEFAULT 'openalex' CHECK (source IN ('openalex', 'paper')),
  corresponding_email  TEXT,
  PRIMARY KEY (lom_id, author_id),
  CHECK (corresponding_email IS NULL OR source = 'paper')
);
CREATE UNIQUE INDEX paper_author_pos ON paper_author(lom_id, position);
CREATE INDEX paper_author_author ON paper_author(author_id);
Powered by Datasette · Queries took 11.36ms · Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository