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Found 11 papers, 1 papers with code
Diverse Priors for Deep Reinforcement Learning
In Reinforcement Learning (RL), agents aim at maximizing cumulative rewards in a given environment.
Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation
Then, based on the distributed optimisation algorithm, an output regulation method is utilised to solve the optimal coordination problem for general linear dynamic systems.
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning
Formal properties of the proposed DCEE framework like convergence are established.
Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement
This paper presents a novel scheme termed Optimization-based Ramping Reserve Allocation (ORRA) for addressing an ongoing challenge in Automatic Generation Control (AGC) enhancement, i. e., the optimal coordination of multiple Battery Energy Storage Systems (BESSs).
Concurrent Active Learning in Autonomous Airborne Source Search: Dual Control for Exploration and Exploitation
In this setting, the control action not only minimises the tracking error between future agent's position and estimated source location, but also the uncertainty of predicted estimation.
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
Then, taking the low resolution voxel grids which are generated by the coarse 3D models as input, the voxel super-resolution based on an implicit representation is learned through a multi-stage 3D convolutional neural network.
A novel joint points and silhouette-based method to estimate 3D human pose and shape
A novel energy function based on the correspondence is built and minimized to fit parametric model to the silhouettes.
Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition
Paired egocentric interaction recognition (PEIR) is the task to collaboratively recognize the interactions between two persons with the videos in their corresponding views.
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
We identify that online object tracking poses two new challenges: 1) it is difficult to generate imperceptible perturbations that can transfer across frames, and 2) real-time trackers require the attack to satisfy a certain level of efficiency.
