History, Adaptation, and Hidden Gain: Two Prospective Tests of Learned Predictive Control in a Synthetic Neural Population
cs.LG, cs.SY, eess.SY
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/lonewolf15116/NeuroLight-AI
Terminology
Sources
- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
- Objective Mismatch in Model-based Reinforcement Learning
- Nonlinear Model Predictive Control of a Conductance-Based Neuron Model via Data-Driven Forecasting
- Model Predictive Control on the Neural Manifold
- RMA: Rapid Motor Adaptation for Legged Robots
- Preparing for the Unknown: Learning a Universal Policy with Online System Identification
- The Value Equivalence Principle for Model-Based Reinforcement Learning
- Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking
- Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control
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