conftrace_

control policy

39 papers

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Co-occurring keywords

reinforcement learning (4352) neural network (6616) lyapunov function (37) deep reinforcement learning (903) closed-loop system (8) dynamical system (398) gaussian process (1200) linear dynamical system (86) certificate function (2) feedback control (24)

Papers

Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States AAAI 2026
CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization AAAI 2025
Neural Control and Certificate Repair via Runtime Monitoring AAAI 2025
Performative Control for Linear Dynamical Systems NIPS 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NIPS 2024
Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration L4DC 2024
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees AAAI 2023
Perpetual Humanoid Control for Real-time Simulated Avatars ICCV 2023
Neural Lyapunov Control for Discrete-Time Systems NIPS 2023
Bounding the Difference Between Model Predictive Control and Neural Networks L4DC 2022
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems JMLR 2022
Neural Stochastic Control NIPS 2022
Action-modulated midbrain dopamine activity arises from distributed control policies NIPS 2022
Safe Robot Learning in Assistive Devices through Neural Network Repair CORL 2022
Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines L4DC 2021
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021
Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract) AAAI 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021
Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021
Neural Lyapunov Redesign L4DC 2021
Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020