Fast optimized PyTorch implementation of CleanRL RL algorithms using CUDAGraphs. ⚠️ NOTE: CleanRL is not a modular library and therefore it is not meant to be imported. At the cost of duplicate code, ...

In the proposed computing paradigm, we use SNNs to represent agents in the swarm and ... local search within the vicinities of the current best solution. The pseudo-code in Algorithm 1 describes the ...

This paper presents a versatile and novel framework for antenna array synthesis and optimization using simulated bifurcations of nonlinear ... through a quantum-inspired simulated bifurcation ...

There’s a lot to know about search intent, from using deep learning to infer search ... In a world ruled by algorithms, SEJ brings timely, relevant information for SEOs, marketers, and ...

While the full set of permutations is extremely large, and might be daunting to some, it is expected that most applications will only use a small set of algorithms to meet their needs. As of 3.3.0, ...

resulting in deviations between the theoretically optimal solution and the actual implementation on robotic platforms. To address these challenges, this letter proposes a novel IK algorithm, TPEDE-IK, ...