Systems
455 papers (5 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
8
9
8
5
8
5
8
3
6
4
6
7
17
21
42
51
29
13
72
99
32
'5
'10
'15
'20
'25
Papers (including subtopics)
HybVIO: Pushing the Limits of Real-Time Visual-Inertial Odometry
WACV 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning
L4DC 2022
Learning-Enabled Robust Control with Noisy Measurements
L4DC 2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
L4DC 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
ICML 2022
Multi-Robot Adversarial Resilience using Control Barrier Functions
RSS 2022
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control
L4DC 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
Optimal thyroplasty implant shape and stiffness for treatment of acute unilateral vocal fold paralysis: Evidence from a canine in vivo phonation model
Interspeech 2022
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
L4DC 2022
Reachability Constrained Reinforcement Learning
ICML 2022
Real-Time BDI Agents: A Model and Its Implementation
IJCAI 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
L4DC 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
L4DC 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
NeurIPS 2022
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
AAAI 2022
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion
L4DC 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
AAAI 2022
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
L4DC 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
L4DC 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
L4DC 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design
RSS 2021