Michal Nauman

According to our database1, Michal Nauman authored at least 14 papers between 2020 and 2025.

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Bibliography

2025
Relative Entropy Pathwise Policy Optimization.
CoRR, July, 2025

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners.
CoRR, May, 2025

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control.
CoRR, May, 2025

Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models.
CoRR, May, 2025

Value-Based Deep RL Scales Predictably.
CoRR, February, 2025

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models.
CoRR, 2024

A Case for Validation Buffer in Pessimistic Actor-Critic.
CoRR, 2024

Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Decoupled Actor-Critic.
CoRR, 2023

On Many-Actions Policy Gradient.
Proceedings of the International Conference on Machine Learning, 2023

2022
On All-Action Policy Gradients.
CoRR, 2022

2020
Low-Variance Policy Gradient Estimation with World Models.
CoRR, 2020


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