Raiman, Jonathan

Dota 2 with Large Scale Deep Reinforcement Learning

OpenAI, :, Berner, C., Brockman, G., Chan, B., Cheung, V., Dębiak, P., Dennison, C., Farhi, D., Fischer, Q., et al. (2019) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1,065

Deep voice 3: scaling text-to-speech with convolutional sequence learning

Ping, W., Peng, K., Gibiansky, A., Arik, S. O., Kannan, A., Narang, S., Raiman, J., & Miller, J. (2017) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 313

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Lee, C., Roy, R., Xu, M., Raiman, J., Shoeybi, M., Catanzaro, B., & Ping, W. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 15