John Schulman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Let's Verify Step by Step. | Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe |
| 2023 | ICML | Scaling Laws for Reward Model Overoptimization. | Leo Gao, John Schulman, Jacob Hilton |
| 2021 | ICML | Phasic Policy Gradient. | Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman |
| 2020 | ICML | Leveraging Procedural Generation to Benchmark Reinforcement Learning. | Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman |
| 2020 | ICML | Distribution Augmentation for Generative Modeling. | Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever |
| 2019 | ICML | Quantifying Generalization in Reinforcement Learning. | Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman |
| 2018 | CoRL | Model-Based Reinforcement Learning via Meta-Policy Optimization. | Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel |
| 2018 | ICLR | Meta Learning Shared Hierarchies. | Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman |
| 2017 | ICLR | Variational Lossy Autoencoder. | Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel |
| 2016 | ICML | Benchmarking Deep Reinforcement Learning for Continuous Control. | Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel |
| 2015 | ICML | Trust Region Policy Optimization. | John Schulman, Sergey Levine, Pieter Abbeel, Michael I. Jordan, Philipp Moritz |
| 2014 | ICRA | Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization. | Yan Duan, Sachin Patil, John Schulman, Kenneth Y. Goldberg, Pieter Abbeel |
| 2014 | ICRA | Gaussian belief space planning with discontinuities in sensing domains. | Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel |
| 2014 | WAFR | Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation. | Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel |
| 2013 | IROS | Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles. | Alex X. Lee, Yan Duan, Sachin Patil, John Schulman, Zoe McCarthy, Jur van den Berg, Ken Goldberg, Pieter Abbeel |
| 2013 | IROS | A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario. | John Schulman, Ankush Gupta, Sibi Venkatesan, Mallory Tayson-Frederick, Pieter Abbeel |
| 2013 | ICRA | Tracking deformable objects with point clouds. | John Schulman, Alex X. Lee, Jonathan Ho, Pieter Abbeel |
| 2013 | ISRR | Learning from Demonstrations Through the Use of Non-rigid Registration. | John Schulman, Jonathan Ho, Cameron Lee, Pieter Abbeel |