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

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29 rows where author_id = "openalex:A5049349154"

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Link lom_id author_id position source corresponding_email
arxiv:1502.05477,openalex:A5049349154 Trust Region Policy Optimization arxiv:1502.05477 openalex:A5049349154 5 openalex  
arxiv:1506.02438,openalex:A5049349154 High-Dimensional Continuous Control Using Generalized Advantage Estimation arxiv:1506.02438 openalex:A5049349154 5 openalex  
arxiv:1611.02779,openalex:A5049349154 RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning arxiv:1611.02779 openalex:A5049349154 6 openalex  
arxiv:1611.04717,openalex:A5049349154 #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning arxiv:1611.04717 openalex:A5049349154 9 openalex  
arxiv:1703.03400,openalex:A5049349154 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks arxiv:1703.03400 openalex:A5049349154 2 openalex  
arxiv:1704.03012,openalex:A5049349154 Stochastic Neural Networks for Hierarchical Reinforcement Learning arxiv:1704.03012 openalex:A5049349154 3 openalex  
arxiv:1707.03141,openalex:A5049349154 A Simple Neural Attentive Meta-Learner arxiv:1707.03141 openalex:A5049349154 4 openalex  
arxiv:1801.01290,openalex:A5049349154 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor arxiv:1801.01290 openalex:A5049349154 3 openalex  
arxiv:1802.07245,openalex:A5049349154 Meta-Reinforcement Learning of Structured Exploration Strategies arxiv:1802.07245 openalex:A5049349154 4 openalex  
arxiv:1803.01118,openalex:A5049349154 Some Considerations on Learning to Explore via Meta-Reinforcement Learning arxiv:1803.01118 openalex:A5049349154 7 openalex  
arxiv:1810.07167,openalex:A5049349154 Composable Action-Conditioned Predictors: Flexible Off-Policy Learning\n for Robot Navigation arxiv:1810.07167 openalex:A5049349154 3 openalex  
arxiv:2006.11239,openalex:A5049349154 Denoising Diffusion Probabilistic Models arxiv:2006.11239 openalex:A5049349154 3 openalex  
arxiv:2009.08319,openalex:A5049349154 Decoupling Representation Learning from Reinforcement Learning arxiv:2009.08319 openalex:A5049349154 3 openalex  
arxiv:2103.05247,openalex:A5049349154 Pretrained Transformers as Universal Computation Engines arxiv:2103.05247 openalex:A5049349154 3 openalex  
arxiv:2106.01345,openalex:A5049349154 Decision Transformer: Reinforcement Learning via Sequence Modeling arxiv:2106.01345 openalex:A5049349154 7 openalex  
doi:10.1109/icra.2018.8462901,openalex:A5049349154 Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation doi:10.1109/icra.2018.8462901 openalex:A5049349154 3 openalex  
doi:10.1109/iros.2017.8202133,openalex:A5049349154 Domain randomization for transferring deep neural networks from simulation to the real world doi:10.1109/iros.2017.8202133 openalex:A5049349154 6 openalex  
doi:10.1109/lra.2021.3057023,openalex:A5049349154 BADGR: An Autonomous Self-Supervised Learning-Based Navigation System doi:10.1109/lra.2021.3057023 openalex:A5049349154 2 openalex  
doi:10.15607/rss.2018.xiv.002,openalex:A5049349154 One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning doi:10.15607/rss.2018.xiv.002 openalex:A5049349154 6 openalex  
doi:10.15607/rss.2020.xvi.024,openalex:A5049349154 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos doi:10.15607/rss.2020.xvi.024 openalex:A5049349154 4 openalex  
doi:10.18653/v1/2021.emnlp-main.482,openalex:A5049349154 Contrastive Code Representation Learning doi:10.18653/v1/2021.emnlp-main.482 openalex:A5049349154 4 openalex  
doi:10.24963/ijcai.2017/700,openalex:A5049349154 Value Iteration Networks doi:10.24963/ijcai.2017/700 openalex:A5049349154 5 openalex  
openalex:W2794757725,openalex:A5049349154 Learning to Adapt: Meta-Learning for Model-Based Control openalex:W2794757725 openalex:A5049349154 4 openalex  
openalex:W2951553872,openalex:A5049349154 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning openalex:W2951553872 openalex:A5049349154 4 openalex  
openalex:W2963293881,openalex:A5049349154 Automatic Goal Generation for Reinforcement Learning Agents openalex:W2963293881 openalex:A5049349154 4 openalex  
openalex:W2963590100,openalex:A5049349154 Guided cost learning: deep inverse optimal control via policy optimization openalex:W2963590100 openalex:A5049349154 3 openalex  
openalex:W2963639957,openalex:A5049349154 VIME: Variational Information Maximizing Exploration openalex:W2963639957 openalex:A5049349154 6 openalex  
openalex:W2964161785,openalex:A5049349154 End-to-end training of deep visuomotor policies openalex:W2964161785 openalex:A5049349154 4 openalex  
openalex:W2964227899,openalex:A5049349154 Evolved Policy Gradients openalex:W2964227899 openalex:A5049349154 7 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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