Christopher Hesse

According to our database1, Christopher Hesse authored at least 10 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
WebGPT: Browser-assisted question-answering with human feedback.
CoRR, 2021

Training Verifiers to Solve Math Word Problems.
CoRR, 2021

Evaluating Large Language Models Trained on Code.
CoRR, 2021

2020
Scaling Laws for Autoregressive Generative Modeling.
CoRR, 2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020


Leveraging Procedural Generation to Benchmark Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Dota 2 with Large Scale Deep Reinforcement Learning.
CoRR, 2019

Quantifying Generalization in Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Gotta Learn Fast: A New Benchmark for Generalization in RL.
CoRR, 2018


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