JS
John Schulman
cs.LGcs.AIstat.MLcs.CLcs.CVcs.ROcs.CRcs.CYcs.NEcs.SD
On Valency
published · living versionsW_sgh3nvvu·v1 · currentpublished
Reasoning Models Don't Always Say What They Think
with Yanda Chen, Joe Benton, Ansh Radhakrishnan, Jonathan Uesato +10
1 version
Preprints & journals
31 papers in the corpus · 2015–2025High-Dimensional Continuous Control Using Generalized Advantage Estimation1506.02438v6 · John Schulman, Philipp Moritz, Sergey Levine et al.2015 · 1,817 citationsarXiv
Detecting Adversarial Fine-tuning with Auditing Agents2510.16255v1 · Sarah Egler, John Schulman, Nicholas Carlini2025 · 0 citationsarXiv
Reasoning Models Don't Always Say What They Think2505.05410v1 · Yanda Chen, Joe Benton, Ansh Radhakrishnan et al.2025 · 9 citationsarXivon Valency
Measuring short-form factuality in large language models2411.04368v1 · Jason Wei, Nguyen Karina, Hyung Won Chung et al.2024 · 13 citationsarXiv
Rule Based Rewards for Language Model Safety2411.01111v1 · Tong Mu, Alec Helyar, Johannes Heidecke et al.2024 · 10 citationsarXiv
GPT-4o System Card2410.21276v1 · OpenAI: Aaron Hurst, Adam Lerer, Adam P. Goucher et al.2024 · 165 citationsarXiv
Unsolved Problems in ML Safety2109.13916v5 · Dan Hendrycks, Nicholas Carlini, John Schulman et al.2021 · 85 citationsarXiv
Training language models to follow instructions with human feedback2203.02155v1 · Long Ouyang, Jeff Wu, Xu Jiang et al.2022 · 5,565 citationsarXiv
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark2103.15332v1 · Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon et al.2021 · 8 citationsarXiv
Scaling Laws for Autoregressive Generative Modeling2010.14701v2 · Tom Henighan, Jared Kaplan, Mor Katz et al.2020 · 150 citationsarXiv
Phasic Policy Gradient2009.04416v1 · Karl Cobbe, Jacob Hilton, Oleg Klimov et al.2020 · 51 citationsarXiv
Teacher-Student Curriculum Learning.31502993 · Matiisen, Tambet, Oliver, Avital, Cohen, Taco et al.2020 · 324 citationsIEEE transactions on neural networks and learning systems. 2020;31(9):3732-3740
Leveraging Procedural Generation to Benchmark Reinforcement Learning1912.01588v2 · Karl Cobbe, Christopher Hesse, Jacob Hilton et al.2019 · 204 citationsarXiv
Quantifying Generalization in Reinforcement Learning1812.02341v3 · Karl Cobbe, Oleg Klimov, Chris Hesse et al.2018 · 189 citationsarXiv
Semi-Supervised Learning by Label Gradient Alignment1902.02336v1 · Jacob Jackson, John Schulman2019 · 15 citationsarXiv
On First-Order Meta-Learning Algorithms1803.02999v3 · Alex Nichol, Joshua Achiam, John Schulman2018 · 517 citationsarXiv
Equivalence Between Policy Gradients and Soft Q-Learning1704.06440v4 · John Schulman, Xi Chen, Pieter Abbeel2017 · 182 citationsarXiv
Model-Based Reinforcement Learning via Meta-Policy Optimization1809.05214v1 · Ignasi Clavera, Jonas Rothfuss, John Schulman et al.2018 · 110 citationsarXiv
Gotta Learn Fast: A New Benchmark for Generalization in RL1804.03720v2 · Alex Nichol, Vicki Pfau, Christopher Hesse et al.2018 · 80 citationsarXiv
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning1611.04717v3 · Haoran Tang, Rein Houthooft, Davis Foote et al.2016 · 464 citationsarXiv
Teacher-Student Curriculum Learning1707.00183v2 · Tambet Matiisen, Avital Oliver, Taco Cohen et al.2017 · 324 citationsarXiv
UCB Exploration via Q-Ensembles1706.01502v3 · Richard Y. Chen, Szymon Sidor, Pieter Abbeel et al.2017 · 76 citationsarXiv
Meta Learning Shared Hierarchies1710.09767v1 · Kevin Frans, Jonathan Ho, Xi Chen et al.2017 · 111 citationsarXiv
Trust Region Policy Optimization1502.05477v5 · John Schulman, Sergey Levine, Philipp Moritz et al.2015 · 3,084 citationsarXivon Valency
Variational Lossy Autoencoder1611.02731v2 · Xi Chen, Diederik P. Kingma, Tim Salimans et al.2016 · 241 citationsarXiv
VIME: Variational Information Maximizing Exploration1605.09674v4 · Rein Houthooft, Xi Chen, Yan Duan et al.2016 · 521 citationsarXiv
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning1611.02779v2 · Yan Duan, John Schulman, Xi Chen et al.2016 · 479 citationsarXiv
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets1606.03657v1 · Xi Chen, Yan Duan, Rein Houthooft et al.2016 · 3,377 citationsarXiv
OpenAI Gym1606.01540v1 · Greg Brockman, Vicki Cheung, Ludwig Pettersson et al.2016 · 620 citationsarXiv
Benchmarking Deep Reinforcement Learning for Continuous Control1604.06778v3 · Yan Duan, Xi Chen, Rein Houthooft et al.2016 · 1,254 citationsarXivon Valency
Gradient Estimation Using Stochastic Computation Graphs1506.05254v3 · John Schulman, Nicolas Heess, Theophane Weber et al.2015 · 173 citationsarXiv
Career total: 54 works. 31 are in this corpus.
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