Michael Noukhovitch

20 papers A* 5A 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Align and Filter: Improving Performance in Asynchronous On-Policy RL. CoRR Homayoun Honari, Roger Creus Castanyer, Michael Przystupa, Michael Noukhovitch, Pablo Samuel Castro, Glen Berseth
2026	J	`jnl`	Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards. CoRR Johannes Ackermann, Michael Noukhovitch, Takashi Ishida, Masashi Sugiyama
2025	A*	`conf`	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. ICLR Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville
2025	J	`jnl`	Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models. CoRR Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville
2025	J	`jnl`	Learning Robust Social Strategies with Large Language Models. CoRR Dereck Piche, Mohammed Muqeeth, Milad Aghajohari, Juan Agustin Duque, Michael Noukhovitch, Aaron C. Courville
2025	J	`jnl`	Olmo 3. CoRR 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
2024	J	`jnl`	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. CoRR Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville
2024	A*	`conf`	Learning Multi-Agent Communication with Contrastive Learning. ICLR Yat Long Lo, Biswa Sengupta, Jakob Nicolaus Foerster, Michael Noukhovitch
2024	J	`jnl`	The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall
2023	A*	`conf`	Language Model Alignment with Elastic Reset. NeurIPS Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville
2023	J	`jnl`	Language Model Alignment with Elastic Reset. CoRR Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville
2023	J	`jnl`	Learning to Communicate using Contrastive Learning. CoRR Yat Long Lo, Biswa Sengupta, Jakob N. Foerster, Michael Noukhovitch
2023	A*	`conf`	Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. ICLR Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville
2021	A	`conf`	Emergent Communication under Competition. AAMAS Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville
2021	J	`jnl`	Emergent Communication under Competition. CoRR Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville
2021	A*	`conf`	Pretraining Representations for Data-Efficient Reinforcement Learning. NeurIPS Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R. Devon Hjelm, Philip Bachman, Aaron C. Courville
2021	J	`jnl`	Pretraining Representations for Data-Efficient Reinforcement Learning. CoRR Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R. Devon Hjelm, Philip Bachman, Aaron C. Courville
2019	—	`conf`	Systematic Generalization: What Is Required and Can It Be Learned? ICLR (Poster) Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
2018	J	`jnl`	Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung
2018	J	`jnl`	Systematic Generalization: What Is Required and Can It Be Learned? CoRR Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville