Research map / Probabilistic and scientific modeling / Dynamical systems
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs (NeurIPS 2023 · similarity 0.94)
- Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise (NeurIPS 2024 · similarity 0.91)
- Inverse decision-making using neural amortized Bayesian actors (ICLR 2025 · similarity 0.88)
- Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification (ICLR 2024 · similarity 0.85)
- When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback (NeurIPS 2024 · similarity 0.85)
- World Models as Reference Trajectories for Rapid Motor Adaptation (NeurIPS 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
