Karl Cobbe
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Natural Language Processing Techniques, Advanced Bandit Algorithms Research, Artificial Intelligence in Games
Most-Cited Works
- → Quantifying Generalization in Reinforcement Learning(2018)195 cited
- → Leveraging Procedural Generation to Benchmark Reinforcement Learning(2019)171 cited
- → Phasic Policy Gradient(2020)49 cited
- → WebGPT: Browser-assisted question-answering with human feedback(2021)33 cited
- → Let's Verify Step by Step(2023)29 cited
- → Training Verifiers to Solve Math Word Problems(2021)23 cited
- → Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark(2021)6 cited
- → Batch Size-Invariance for Policy Optimization(2022)