The field of quadrotor motion planning has experienced significant advancements over the last decade.
Even though Google Research Football (GRF) was initially benchmarked and studied as a single-agent environment in its original paper, recent years have witnessed an increasing focus on its multi-agent nature by researchers utilizing it as a testbed for Multi-Agent Reinforcement Learning (MARL).
We identify that the biggest energy efficiency gains of the CPUs and GPUs come from the dedicated vector units.
In contrast to the standard definition and previous core-like decompositions for temporal graphs, our $(k,\Delta)$-core decomposition is an edge-based decomposition founded on the new notion of $\Delta$-degree.
Social and Information Networks Data Structures and Algorithms
Cloud providers handle substantial number of requests to create and delete virtual machines (VMs) on a daily basis, where the unknown sequence of requests eventually leads to resource fragmentation.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing Discrete Mathematics
To this end, we design a novel and generic learning-based framework consisting of a set of meta-models, based on which DeepTheft is demonstrated to have high accuracy in recovering a large number (thousands) of models architectures from different model families including the deepest ResNet152.
Cryptography and Security
The integration of Large Language Models (LLMs) into robotics has revolutionized human-robot interactions and autonomous task planning.
Separate programming models for data transformation (declarative) and computation (procedural) impact programmer ergonomics, code reusability and database efficiency.
Databases Programming Languages H.2.3; I.1.3; I.2.4