Michal Nauman

According to our database, Michal Nauman authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

When Does Non-Uniform Replay Matter in Reinforcement Learning?

Michal Korniak, Mikolaj Czarnecki, Yarden As, Piotr Milos, Pieter Abbeel, Michal Nauman

CoRR, May, 2026

Reward-Conditioned Reinforcement Learning.

Michal Nauman, Marek Cygan, Pieter Abbeel

CoRR, March, 2026

What Does Flow Matching Bring To TD Learning?

Bhavya Agrawalla, Michal Nauman, Aviral Kumar

CoRR, March, 2026

2025

floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL.

Bhavya Agrawalla, Michal Nauman, Khush Agarwal, Aviral Kumar

CoRR, September, 2025

Relative Entropy Pathwise Policy Optimization.

Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski

CoRR, July, 2025

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners.

Michal Nauman, Marek Cygan, Carmelo Sferrazza, Aviral Kumar, Pieter Abbeel

CoRR, May, 2025

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control.

Younggyo Seo, Carmelo Sferrazza, Haoran Geng, Michal Nauman, Zhao-Heng Yin, Pieter Abbeel

CoRR, May, 2025

Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models.

Gracjan Góral, Alicja Ziarko, Piotr Milos, Michal Nauman, Maciej Wolczyk, Michal Kosinski

CoRR, May, 2025

Compute-Optimal Scaling for Value-Based Deep RL.

Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar

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

A Case for Validation Buffer in Pessimistic Actor-Critic.

Michal Nauman, Mateusz Ostaszewski, Marek Cygan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Value-Based Deep RL Scales Predictably.

Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning.

Michal Nauman, Marek Cygan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models.

Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wolczyk

CoRR, 2024

Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control.

Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.

Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Decoupled Actor-Critic.

Michal Nauman, Marek Cygan

CoRR, 2023

On Many-Actions Policy Gradient.

Michal Nauman, Marek Cygan

Proceedings of the International Conference on Machine Learning, 2023

2022

On All-Action Policy Gradients.

Michal Nauman, Marek Cygan

CoRR, 2022

2020

Low-Variance Policy Gradient Estimation with World Models.

Michal Nauman, Floris den Hengst

CoRR, 2020