Co-occurring keywords · papers mentioning both
Papers
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
CoRL 2022
Temporal Difference Learning for Model Predictive Control
ICML 2022
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion
L4DC 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
RSS 2022
Verified Path Following Using Neural Control Lyapunov Functions
CoRL 2022
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
L4DC 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach
L4DC 2021
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
ICLR 2021
Data Sharing and Compression for Cooperative Networked Control
NeurIPS 2021
Dual Online Stein Variational Inference for Control and Dynamics
RSS 2021
Fast and Efficient Locomotion via Learned Gait Transitions
CoRL 2021
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
NeurIPS 2021
Group-based Motion Prediction for Navigation in Crowded Environments
CoRL 2021
Input Convex Neural Networks for Building MPC
L4DC 2021
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
L4DC 2021
Learned Visual Navigation for Under-Canopy Agricultural Robots
RSS 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
ICML 2021
Optimal Cost Design for Model Predictive Control
L4DC 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
NeurIPS 2021
Real-Time Pricing Optimization for Ride-Hailing Quality of Service
IJCAI 2021
Risk-Averse Zero-Order Trajectory Optimization
CoRL 2021
Safe Pontryagin Differentiable Programming
NeurIPS 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
AAAI 2021
Skill-based Shared Control
RSS 2021