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51 rows where author_id = "openalex:A5026322200"

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Link lom_id author_id position source corresponding_email
arxiv:1502.05477,openalex:A5026322200 Trust Region Policy Optimization arxiv:1502.05477 openalex:A5026322200 2 openalex  
arxiv:1506.02438,openalex:A5026322200 High-Dimensional Continuous Control Using Generalized Advantage Estimation arxiv:1506.02438 openalex:A5026322200 3 openalex  
arxiv:1703.01260,openalex:A5026322200 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning arxiv:1703.01260 openalex:A5026322200 3 openalex  
arxiv:1703.03400,openalex:A5026322200 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks arxiv:1703.03400 openalex:A5026322200 3 openalex  
arxiv:1711.06782,openalex:A5026322200 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning arxiv:1711.06782 openalex:A5026322200 4 openalex  
arxiv:1801.01290,openalex:A5026322200 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor arxiv:1801.01290 openalex:A5026322200 4 openalex  
arxiv:1801.08930,openalex:A5026322200 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes arxiv:1801.08930 openalex:A5026322200 3 openalex  
arxiv:1802.07245,openalex:A5026322200 Meta-Reinforcement Learning of Structured Exploration Strategies arxiv:1802.07245 openalex:A5026322200 5 openalex  
arxiv:1805.00909,openalex:A5026322200 Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review arxiv:1805.00909 openalex:A5026322200 1 openalex  
arxiv:1810.06544,openalex:A5026322200 Deep Imitative Models for Flexible Inference, Planning, and Control arxiv:1810.06544 openalex:A5026322200 3 openalex  
arxiv:1810.07167,openalex:A5026322200 Composable Action-Conditioned Predictors: Flexible Off-Policy Learning\n for Robot Navigation arxiv:1810.07167 openalex:A5026322200 4 openalex  
arxiv:1812.00568,openalex:A5026322200 Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control arxiv:1812.00568 openalex:A5026322200 6 openalex  
arxiv:1902.07742,openalex:A5026322200 From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following arxiv:1902.07742 openalex:A5026322200 3 openalex  
arxiv:1903.00374,openalex:A5026322200 Model-Based Reinforcement Learning for Atari arxiv:1903.00374 openalex:A5026322200 10 openalex  
arxiv:1904.07854,openalex:A5026322200 End-to-End Robotic Reinforcement Learning without Reward Engineering arxiv:1904.07854 openalex:A5026322200 5 openalex  
arxiv:1910.00177,openalex:A5026322200 Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning arxiv:1910.00177 openalex:A5026322200 4 openalex  
arxiv:1910.11215,openalex:A5026322200 RoboNet: Large-Scale Multi-Robot Learning arxiv:1910.11215 openalex:A5026322200 8 openalex  
arxiv:2003.07305,openalex:A5026322200 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction arxiv:2003.07305 openalex:A5026322200 3 openalex  
arxiv:2004.07219,openalex:A5026322200 D4RL: Datasets for Deep Data-Driven Reinforcement Learning arxiv:2004.07219 openalex:A5026322200 5 openalex  
arxiv:2005.01643,openalex:A5026322200 Offline reinforcement learning: tutorial, review, and perspectives on open problems arxiv:2005.01643 openalex:A5026322200 1 openalex  
arxiv:2005.13239,openalex:A5026322200 MOPO: Model-based Offline Policy Optimization arxiv:2005.13239 openalex:A5026322200 6 openalex  
arxiv:2006.04779,openalex:A5026322200 Conservative Q-Learning for Offline Reinforcement Learning arxiv:2006.04779 openalex:A5026322200 4 openalex  
arxiv:2006.09359,openalex:A5026322200 AWAC: Accelerating Online Reinforcement Learning with Offline Datasets arxiv:2006.09359 openalex:A5026322200 4 openalex  
arxiv:2010.13611,openalex:A5026322200 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning arxiv:2010.13611 openalex:A5026322200 4 openalex  
arxiv:2012.02096,openalex:A5026322200 Emergent Complexity and Zero-shot Transfer via Unsupervised Environment\n Design arxiv:2012.02096 openalex:A5026322200 7 openalex  
arxiv:2101.03958,openalex:A5026322200 Evolving Reinforcement Learning Algorithms arxiv:2101.03958 openalex:A5026322200 5 openalex  
arxiv:2104.08212,openalex:A5026322200 MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale arxiv:2104.08212 openalex:A5026322200 7 openalex  
doi:10.1109/icra.2017.7989324,openalex:A5026322200 Deep visual foresight for planning robot motion doi:10.1109/icra.2017.7989324 openalex:A5026322200 2 openalex  
doi:10.1109/icra.2017.7989385,openalex:A5026322200 Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates doi:10.1109/icra.2017.7989385 openalex:A5026322200 4 openalex  
doi:10.1109/icra.2018.8462891,openalex:A5026322200 Time-Contrastive Networks: Self-Supervised Learning from Video doi:10.1109/icra.2018.8462891 openalex:A5026322200 7 openalex  
doi:10.1109/icra.2018.8462901,openalex:A5026322200 Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation doi:10.1109/icra.2018.8462901 openalex:A5026322200 4 openalex  
doi:10.1109/icra48506.2021.9561384,openalex:A5026322200 Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention doi:10.1109/icra48506.2021.9561384 openalex:A5026322200 8 openalex  
doi:10.1109/lra.2021.3057023,openalex:A5026322200 BADGR: An Autonomous Self-Supervised Learning-Based Navigation System doi:10.1109/lra.2021.3057023 openalex:A5026322200 3 openalex  
doi:10.15607/rss.2018.xiv.002,openalex:A5026322200 One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning doi:10.15607/rss.2018.xiv.002 openalex:A5026322200 7 openalex  
doi:10.15607/rss.2020.xvi.024,openalex:A5026322200 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos doi:10.15607/rss.2020.xvi.024 openalex:A5026322200 5 openalex  
doi:10.17863/cam.21291,openalex:A5026322200 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning Shixiang doi:10.17863/cam.21291 openalex:A5026322200 6 openalex  
doi:10.24963/ijcai.2017/700,openalex:A5026322200 Value Iteration Networks doi:10.24963/ijcai.2017/700 openalex:A5026322200 4 openalex  
openalex:W2104733512,openalex:A5026322200 Guided Policy Search openalex:W2104733512 openalex:A5026322200 1 openalex  
openalex:W2794757725,openalex:A5026322200 Learning to Adapt: Meta-Learning for Model-Based Control openalex:W2794757725 openalex:A5026322200 5 openalex  
openalex:W2951553872,openalex:A5026322200 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning openalex:W2951553872 openalex:A5026322200 6 openalex  
openalex:W2963484919,openalex:A5026322200 QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation openalex:W2963484919 openalex:A5026322200 11 openalex  
openalex:W2963516265,openalex:A5026322200 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition openalex:W2963516265 openalex:A5026322200 5 openalex  
openalex:W2963590100,openalex:A5026322200 Guided cost learning: deep inverse optimal control via policy optimization openalex:W2963590100 openalex:A5026322200 2 openalex  
openalex:W2963780574,openalex:A5026322200 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning openalex:W2963780574 openalex:A5026322200 4 openalex  
openalex:W2964161785,openalex:A5026322200 End-to-end training of deep visuomotor policies openalex:W2964161785 openalex:A5026322200 1 openalex  
openalex:W2964342357,openalex:A5026322200 Visual Reinforcement Learning with Imagined Goals openalex:W2964342357 openalex:A5026322200 6 openalex  
openalex:W2971262355,openalex:A5026322200 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction openalex:W2971262355 openalex:A5026322200 5 openalex  
openalex:W3032377877,openalex:A5026322200 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning openalex:W3032377877 openalex:A5026322200 7 openalex  
openalex:W3101192004,openalex:A5026322200 MOPO: Model-based Offline Policy Optimization openalex:W3101192004 openalex:A5026322200 6 openalex  
openalex:W3102848167,openalex:A5026322200 Conservative Q-Learning for Offline Reinforcement Learning openalex:W3102848167 openalex:A5026322200 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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