https://github.com/ogroth/geeco
공식 코드Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
Papers with Code 아카이브
Model Predictive Control
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oliviatessa/mothpruning
공식 코드Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight
https://github.com/optcon/dmpc_rto
공식 코드https://github.com/panchgonzalez/nmor
공식 코드https://github.com/placebovitamin/mpc-tutorial
공식 코드Implementation of Linear Model Predictive Control -- Tutorial
https://github.com/pnnl/deps_arXiv2020
공식 코드Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees
https://github.com/pnnl/neuromancer
공식 코드Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees
https://github.com/precysegroup/data-driven-st-mpc
공식 코드Data-Driven Robust Backward Reachable Sets for Set-Theoretic Model Predictive Control
https://github.com/predict-epfl/evanqp
공식 코드Stability Verification of Neural Network Controllers using Mixed-Integer Programming
https://github.com/purewater0901/BSMPC
공식 코드https://github.com/qiongwu86/v2x-assisted-distributed-computing-and-control-framework-for-connected-and-automated-vehicles
공식 코드https://github.com/r-drummond/convex-nn-synthesis-1norm
공식 코드Convex neural network synthesis for robustness in the 1-norm
https://github.com/rawlings-group/mlid_2024
공식 코드https://github.com/rbridges12/speed-accuracy-optimal-control-paper
공식 코드Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise
https://github.com/rehoss/lbmpc_semimarkov
공식 코드Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
https://github.com/river-lab/mobiman
공식 코드Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning
https://github.com/robinhenry/gym-anm
공식 코드https://github.com/robinhenry/gym-anm-exp
공식 코드https://github.com/saadejazz/mpc-trust-cbf
공식 코드https://github.com/saadejazz/smato
공식 코드https://github.com/saadejazz/trusty
공식 코드https://github.com/saeidb71/a-user-friendly-software-based-on-legendre-gauss-radau-pseudo-spectral-method-in-python-to-solve-mpc
공식 코드https://github.com/saferoboticslab/dual_control_hri
공식 코드Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
https://github.com/sailorbrandon/gt-bmpc
공식 코드Automated Lane Merging via Game Theory and Branch Model Predictive Control
https://github.com/sambuddhac/LASCOPF_Load_Variation
공식 코드https://github.com/samholt/neurallaplacecontrol
공식 코드https://github.com/samku/CCTMPC_tracking
공식 코드https://github.com/samotto1/koopmangeneratorem
공식 코드Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
https://github.com/samuelmallick/mpcrl-greenhouse
공식 코드Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
https://github.com/samuelmallick/mpcrl-vehicle-gears
공식 코드Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
https://github.com/samuelmallick/supervised-learning-pwa-mpc
공식 코드Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
https://github.com/schwenkel/mpc-iqc
공식 코드https://github.com/sebsdevlab/sd-mpc
공식 코드Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach
https://github.com/sensorsini/neural-control-tools
공식 코드https://github.com/shamilmamedov/flexible_arm
공식 코드Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
https://github.com/shaoruchen/lumped-uncertainty-sls-mpc
공식 코드System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.