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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

27 rows where author_id = "openalex:A5091771290"

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Link lom_id author_id position source corresponding_email
arxiv:1312.5602,openalex:A5091771290 Playing Atari with Deep Reinforcement Learning arxiv:1312.5602 openalex:A5091771290 3 openalex  
arxiv:1509.02971,openalex:A5091771290 Continuous control with deep reinforcement learning arxiv:1509.02971 openalex:A5091771290 7 openalex  
arxiv:1603.01121,openalex:A5091771290 Deep Reinforcement Learning from Self-Play in Imperfect-Information Games arxiv:1603.01121 openalex:A5091771290 2 openalex  
arxiv:1611.05397,openalex:A5091771290 Reinforcement Learning with Unsupervised Auxiliary Tasks arxiv:1611.05397 openalex:A5091771290 6 openalex  
arxiv:1708.04782,openalex:A5091771290 StarCraft II: A New Challenge for Reinforcement Learning arxiv:1708.04782 openalex:A5091771290 17 openalex  
arxiv:1710.02298,openalex:A5091771290 Rainbow: Combining Improvements in Deep Reinforcement Learning arxiv:1710.02298 openalex:A5091771290 10 openalex  
arxiv:1803.10760,openalex:A5091771290 Unsupervised Predictive Memory in a Goal-Directed Agent arxiv:1803.10760 openalex:A5091771290 20 openalex  
arxiv:1908.03568,openalex:A5091771290 Behaviour Suite for Reinforcement Learning arxiv:1908.03568 openalex:A5091771290 13 openalex  
arxiv:1909.04607,openalex:A5091771290 Discovery of Useful Questions as Auxiliary Tasks arxiv:1909.04607 openalex:A5091771290 8 openalex  
arxiv:2007.08794,openalex:A5091771290 Discovering Reinforcement Learning Algorithms arxiv:2007.08794 openalex:A5091771290 7 openalex  
arxiv:2109.04504,openalex:A5091771290 Bootstrapped Meta-Learning arxiv:2109.04504 openalex:A5091771290 5 openalex  
doi:10.1002/prot.25834,openalex:A5091771290 Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) doi:10.1002/prot.25834 openalex:A5091771290 17 openalex  
doi:10.1016/j.neunet.2022.03.037,openalex:A5091771290 Deep learning, reinforcement learning, and world models doi:10.1016/j.neunet.2022.03.037 openalex:A5091771290 5 openalex  
doi:10.1038/nature14236,openalex:A5091771290 Human-level control through deep reinforcement learning doi:10.1038/nature14236 openalex:A5091771290 3 openalex  
doi:10.1038/nature16961,openalex:A5091771290 Mastering the game of Go with deep neural networks and tree search doi:10.1038/nature16961 openalex:A5091771290 1 openalex  
doi:10.1038/nature24270,openalex:A5091771290 Mastering the game of Go without human knowledge doi:10.1038/nature24270 openalex:A5091771290 1 openalex  
doi:10.1038/s41586-019-1724-z,openalex:A5091771290 Grandmaster level in StarCraft II using multi-agent reinforcement learning doi:10.1038/s41586-019-1724-z openalex:A5091771290 42 openalex  
doi:10.1038/s41586-019-1923-7,openalex:A5091771290 Improved protein structure prediction using potentials from deep learning doi:10.1038/s41586-019-1923-7 openalex:A5091771290 17 openalex  
doi:10.1126/science.aar6404,openalex:A5091771290 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play doi:10.1126/science.aar6404 openalex:A5091771290 1 openalex  
doi:10.1126/science.aau6249,openalex:A5091771290 Human-level performance in 3D multiplayer games with population-based reinforcement learning doi:10.1126/science.aau6249 openalex:A5091771290 15 openalex  
doi:10.1145/1553374.1553501,openalex:A5091771290 Fast gradient-descent methods for temporal-difference learning with linear function approximation doi:10.1145/1553374.1553501 openalex:A5091771290 5 openalex  
openalex:W2165150801,openalex:A5091771290 Deterministic Policy Gradient Algorithms openalex:W2165150801 openalex:A5091771290 1 openalex  
openalex:W2963864421,openalex:A5091771290 Continuous control with deep reinforcement learning openalex:W2963864421 openalex:A5091771290 7 openalex  
openalex:W2964006217,openalex:A5091771290 Learning continuous control policies by stochastic value gradients openalex:W2964006217 openalex:A5091771290 3 openalex  
openalex:W2964295739,openalex:A5091771290 Imagination-Augmented Agents for Deep Reinforcement Learning openalex:W2964295739 openalex:A5091771290 14 openalex  
openalex:W2964296021,openalex:A5091771290 Meta-gradient reinforcement learning openalex:W2964296021 openalex:A5091771290 3 openalex  
openalex:W567721252,openalex:A5091771290 Universal Value Function Approximators openalex:W567721252 openalex:A5091771290 4 openalex  

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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);
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