Karl Cobbe

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Markov Decision Processes

Reinforcement Learning

Top Venues

NeurIPS (Competition and Demos)

Publications

Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
Let's Verify Step by Step. ICLR (2024)
Hunter Lightman, Vineet Kosaraju, Yura Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
Let's Verify Step by Step. CoRR (2023)
Jacob Hilton, Karl Cobbe, John Schulman
Batch size-invariance for policy optimization. NeurIPS (2022)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR (2021)
Jacob Hilton, Karl Cobbe, John Schulman
Batch size-invariance for policy optimization. CoRR (2021)
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, John Schulman
Training Verifiers to Solve Math Word Problems. CoRR (2021)
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman
WebGPT: Browser-assisted question-answering with human feedback. CoRR (2021)
Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
Phasic Policy Gradient. ICML (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) (2020)
Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
Leveraging Procedural Generation to Benchmark Reinforcement Learning. ICML (2020)
Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
Phasic Policy Gradient. CoRR (2020)
Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman
Quantifying Generalization in Reinforcement Learning. ICML (2019)
Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
Leveraging Procedural Generation to Benchmark Reinforcement Learning. CoRR (2019)
Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman
Quantifying Generalization in Reinforcement Learning. CoRR (2018)