Low-Variance Policy Gradient Estimation with World Models. - Michal Nauman; Floris den Hengst (CoRR, 2020)

On All-Action Policy Gradients. - Michal Nauman; Marek Cygan (CoRR, 2022)

On Many-Actions Policy Gradient. - Michal Nauman; Marek Cygan (ICML, 2023)

Decoupled Actor-Critic. - Michal Nauman; Marek Cygan (CoRR, 2023)

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 (ICML, 2024)

Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control. - Michal Nauman; Mateusz Ostaszewski; Krzysztof Jankowski; Piotr Milos; Marek Cygan (NeurIPS, 2024)

A Case for Validation Buffer in Pessimistic Actor-Critic. - Michal Nauman; Mateusz Ostaszewski; Marek Cygan (CoRR, 2024)

Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models. - Gracjan Góral; Alicja Ziarko; Michal Nauman; Maciej Wolczyk (CoRR, 2024)

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning. - Michal Nauman; Marek Cygan (AAAI, 2025)

Value-Based Deep RL Scales Predictably. - Oleh Rybkin; Michal Nauman; Preston Fu; Charlie Snell; Pieter Abbeel; Sergey Levine; Aviral Kumar (CoRR, 2025)

Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models. - Gracjan Góral; Alicja Ziarko; Piotr Milos; Michal Nauman; Maciej Wolczyk; Michal Kosinski (CoRR, 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, 2025)

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners. - Michal Nauman; Marek Cygan; Carmelo Sferrazza; Aviral Kumar; Pieter Abbeel (CoRR, 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, 2025)