Michael Noukhovitch

According to our database, Michael Noukhovitch authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Align and Filter: Improving Performance in Asynchronous On-Policy RL.

Homayoun Honari, Roger Creus Castanyer, Michael Przystupa, Michael Noukhovitch, Pablo Samuel Castro, Glen Berseth

CoRR, March, 2026

Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards.

Johannes Ackermann, Michael Noukhovitch, Takashi Ishida, Masashi Sugiyama

CoRR, February, 2026

2025

Olmo 3.

Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi

CoRR, December, 2025

Learning Robust Social Strategies with Large Language Models.

Dereck Piche, Mohammed Muqeeth, Milad Aghajohari, Juan Agustin Duque, Michael Noukhovitch, Aaron C. Courville

CoRR, November, 2025

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models.

Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization.

Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall

CoRR, 2024

Learning Multi-Agent Communication with Contrastive Learning.

Yat Long Lo, Biswa Sengupta, Jakob Nicolaus Foerster, Michael Noukhovitch

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning to Communicate using Contrastive Learning.

Yat Long Lo, Biswa Sengupta, Jakob N. Foerster, Michael Noukhovitch

CoRR, 2023

Language Model Alignment with Elastic Reset.

Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification.

Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Pretraining Representations for Data-Efficient Reinforcement Learning.

Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R. Devon Hjelm, Philip Bachman, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emergent Communication under Competition.

Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

Systematic Generalization: What Is Required and Can It Be Learned?

Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Commonsense mining as knowledge base completion? A study on the impact of novelty.

Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung

CoRR, 2018