Walas, Krzysztof, Tadeusz — accepted AI-conference papers

2026

Beyond Reactive Adaptation: Long-Horizon Memory for Autonomous Racing Via State Space Models

Grzegorz Czechmanowski, Jan Węgrzynowski, Piotr Kicki, Walas, Krzysztof, Tadeusz

ICRA 2026poster

utonomous racing pushes vehicles to their physical limits, requiring control policies that can rapidly adapt to localized changes in track conditions, such as varying surface friction. Current Reinforcement Learning (RL) approaches rely either on ground-truth system identification, which is impracti…

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2026

Learning What Matters: Task Tailored Dynamics Models through Differentiable MPC

Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Walas, Krzysztof, Tadeusz

ICRA 2026poster

In model-based control, dynamics models are typically trained by minimizing open-loop prediction errors uniformly across all states. However, due to finite model capacity, this misallocates representational power, as not all prediction errors impact the downstream closed-loop performance equally. In…

Cited by 0 Scholar ↗