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ORCIDMichal Nauman
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2020 – today
- 2026
[i17]Bhavya Agrawalla, Michal Nauman, Aviral Kumar:
What Does Flow Matching Bring To TD Learning? CoRR abs/2603.04333 (2026)- [i16]Michal Nauman, Marek Cygan, Pieter Abbeel:
Reward-Conditioned Reinforcement Learning. CoRR abs/2603.05066 (2026) - [i15]Michal Korniak, Mikolaj Czarnecki, Yarden As, Piotr Milos, Pieter Abbeel, Michal Nauman:
When Does Non-Uniform Replay Matter in Reinforcement Learning? CoRR abs/2605.10236 (2026) - 2025
- [c7]Michal Nauman, Marek Cygan:
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning. AAAI 2025: 19633-19641 - [c6]Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar:
Value-Based Deep RL Scales Predictably. ICML 2025 - [c5]Michal Nauman, Mateusz Ostaszewski, Marek Cygan:
A Case for Validation Buffer in Pessimistic Actor-Critic. IJCAI 2025: 5976-5984 - [c4]Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar:
Compute-Optimal Scaling for Value-Based Deep RL. NeurIPS 2025 - [i14]Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar:
Value-Based Deep RL Scales Predictably. CoRR abs/2502.04327 (2025) - [i13]Gracjan Góral, Alicja Ziarko, Piotr Milos, Michal Nauman, Maciej Wolczyk, Michal Kosinski:
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models. CoRR abs/2505.03821 (2025) - [i12]Younggyo Seo, Carmelo Sferrazza, Haoran Geng, Michal Nauman, Zhao-Heng Yin, Pieter Abbeel:
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control. CoRR abs/2505.22642 (2025) - [i11]Michal Nauman, Marek Cygan, Carmelo Sferrazza, Aviral Kumar, Pieter Abbeel:
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners. CoRR abs/2505.23150 (2025) - [i10]Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski:
Relative Entropy Pathwise Policy Optimization. CoRR abs/2507.11019 (2025) - [i9]Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar:
Compute-Optimal Scaling for Value-Based Deep RL. CoRR abs/2508.14881 (2025) - [i8]Bhavya Agrawalla, Michal Nauman, Khush Agarwal, Aviral Kumar:
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL. CoRR abs/2509.06863 (2025) - 2024
- [c3]Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan:
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. ICML 2024: 37342-37364 - [c2]Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan:
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control. NeurIPS 2024 - [i7]Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan:
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR abs/2403.00514 (2024) - [i6]Michal Nauman, Mateusz Ostaszewski, Marek Cygan:
A Case for Validation Buffer in Pessimistic Actor-Critic. CoRR abs/2403.01014 (2024) - [i5]Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan:
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control. CoRR abs/2405.16158 (2024) - [i4]Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wolczyk:
Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models. CoRR abs/2409.12969 (2024) - 2023
- [c1]Michal Nauman, Marek Cygan:
On Many-Actions Policy Gradient. ICML 2023: 25769-25789 - [i3]Michal Nauman, Marek Cygan:
Decoupled Actor-Critic. CoRR abs/2310.19527 (2023) - 2022
- [i2]Michal Nauman, Marek Cygan:
On All-Action Policy Gradients. CoRR abs/2210.13011 (2022) - 2020
- [i1]Michal Nauman, Floris den Hengst
:
Low-Variance Policy Gradient Estimation with World Models. CoRR abs/2010.15622 (2020)
Coauthor Index
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