Co-Reyes, John D.

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

Fu, J., Co-Reyes, J. D., & Levine, S. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 95

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

Gulino, C., Fu, J., Luo, W., Tucker, G., Bronstein, E., Lu, Y., Harb, J., Pan, X., Wang, Y., Chen, X., et al. (2023) · arXiv

Autonomous Vehicle Technology and SafetyTraffic control and management

Cited by 48

Many-Shot In-Context Learning

Agarwal, R., Singh, A., Zhang, L. M., Bohnet, B., Rosias, L., Chan, S., Zhang, B., Anand, A., Abbas, Z., Nova, A., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 10

Training Language Models to Self-Correct via Reinforcement Learning

Kumar, A., Zhuang, V., Agarwal, R., Su, Y., Co-Reyes, J. D., Singh, A., Baumli, K., Iqbal, S., Bishop, C., Roelofs, R., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Small-scale proxies for large-scale Transformer training instabilities

Wortsman, M., Liu, P. J., Xiao, L., Everett, K., Alemi, A., Adlam, B., Co-Reyes, J. D., Gur, I., Kumar, A., Novak, R., et al. (2023) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 5