Karl Cobbe - RankMe

14 papers A* 5Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Let's Verify Step by Step. ICLR Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
2023	J	`jnl`	Let's Verify Step by Step. CoRR Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
2022	A*	`conf`	Batch size-invariance for policy optimization. NeurIPS Jacob Hilton, Karl Cobbe, John Schulman
2021	J	`jnl`	Batch size-invariance for policy optimization. CoRR Jacob Hilton, Karl Cobbe, John Schulman
2021	J	`jnl`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR 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
2021	A*	`conf`	Phasic Policy Gradient. ICML Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
2021	J	`jnl`	Training Verifiers to Solve Math Word Problems. CoRR Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, John Schulman
2021	J	`jnl`	WebGPT: Browser-assisted question-answering with human feedback. CoRR 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
2020	A*	`conf`	Leveraging Procedural Generation to Benchmark Reinforcement Learning. ICML Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
2020	—	`conf`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Phasic Policy Gradient. CoRR Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
2019	J	`jnl`	Leveraging Procedural Generation to Benchmark Reinforcement Learning. CoRR Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
2019	A*	`conf`	Quantifying Generalization in Reinforcement Learning. ICML Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman
2018	J	`jnl`	Quantifying Generalization in Reinforcement Learning. CoRR Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman