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Found 8 papers, 6 papers with code
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction
With the advancements of artificial intelligence (AI), we're seeing more scenarios that require AI to work closely with other agents, whose goals and strategies might not be known beforehand.
Equivariant Reinforcement Learning for Quadrotor UAV
This paper presents an equivariant reinforcement learning framework for quadrotor unmanned aerial vehicles.
Matrix Fisher-Gaussian Distribution on $\mathrm{SO}(3)\times\mathbb{R}^n$ for Attitude Estimation with a Gyro Bias
In this paper, a new probability distribution, referred to as the matrix Fisher-Gaussian (MFG) distribution, is proposed on the nonlinear manifold $\mathrm{SO}(3)\times\mathbb{R}^n$.
Optimization and Control
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
In this paper, we propose an idea of empowering the discriminativeness: Adding a new, artificial class and training the model on the data together with the GAN-generated samples of the new class.
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Many real-world reinforcement learning tasks require multiple agents to make sequential decisions under the agents' interaction, where well-coordinated actions among the agents are crucial to achieve the target goal better at these tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
Geometric Adaptive Control for a Quadrotor UAV with Wind Disturbance Rejection
This paper presents a geometric adaptive control scheme for a quadrotor unmanned aerial vehicle, where the effects of unknown, unstructured disturbances are mitigated by a multilayer neural network that is adjusted online.
Optimization and Control
Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)
Nonlinear PID control systems for a quadrotor UAV are proposed to follow an attitude tracking command and a position tracking command.
Optimization and Control
Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)
The flight maneuvers are defined by a concatenation of flight modes or primitives, each of which is achieved by a nonlinear controller that solves an output tracking problem.
Optimization and Control Systems and Control
