Michal Nauman - RankMe

22 papers A* 6Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reward-Conditioned Reinforcement Learning. CoRR Michal Nauman, Marek Cygan, Pieter Abbeel
2026	J	`jnl`	What Does Flow Matching Bring To TD Learning? CoRR Bhavya Agrawalla, Michal Nauman, Aviral Kumar
2025	A*	`conf`	A Case for Validation Buffer in Pessimistic Actor-Critic. IJCAI Michal Nauman, Mateusz Ostaszewski, Marek Cygan
2025	J	`jnl`	Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models. CoRR Gracjan Góral, Alicja Ziarko, Piotr Milos, Michal Nauman, Maciej Wolczyk, Michal Kosinski
2025	J	`jnl`	Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners. CoRR Michal Nauman, Marek Cygan, Carmelo Sferrazza, Aviral Kumar, Pieter Abbeel
2025	J	`jnl`	Compute-Optimal Scaling for Value-Based Deep RL. CoRR Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	A*	`conf`	Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning. AAAI Michal Nauman, Marek Cygan
2025	J	`jnl`	FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control. CoRR Younggyo Seo, Carmelo Sferrazza, Haoran Geng, Michal Nauman, Zhao-Heng Yin, Pieter Abbeel
2025	J	`jnl`	Relative Entropy Pathwise Policy Optimization. CoRR Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski
2025	A*	`conf`	Value-Based Deep RL Scales Predictably. ICML Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	J	`jnl`	Value-Based Deep RL Scales Predictably. CoRR Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	J	`jnl`	floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL. CoRR Bhavya Agrawalla, Michal Nauman, Khush Agarwal, Aviral Kumar
2024	J	`jnl`	A Case for Validation Buffer in Pessimistic Actor-Critic. CoRR Michal Nauman, Mateusz Ostaszewski, Marek Cygan
2024	A*	`conf`	Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control. NeurIPS Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan
2024	J	`jnl`	Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control. CoRR Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan
2024	A*	`conf`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. ICML Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan
2024	J	`jnl`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan
2024	J	`jnl`	Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models. CoRR Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wolczyk
2023	J	`jnl`	Decoupled Actor-Critic. CoRR Michal Nauman, Marek Cygan
2023	A*	`conf`	On Many-Actions Policy Gradient. ICML Michal Nauman, Marek Cygan
2022	J	`jnl`	On All-Action Policy Gradients. CoRR Michal Nauman, Marek Cygan
2020	J	`jnl`	Low-Variance Policy Gradient Estimation with World Models. CoRR Michal Nauman, Floris den Hengst