Event Status Branch Actor Merge pull request #4 from neural-maze/final-readme Release #4: Commit 2efdf00 pushed by MichaelisTrofficus main October 25, 2024 08:33 47s Merge pull request #3 from neural-maze/add-notebook-example-multiagent Release #3: Commit 69cb54b pushed by Mi...
dbo:deathPlace3.51dbr:Actor0.10dbr:England0.58 dbo:genre3.22dbr:Italy0.10dbr:Writer0.53 dbo:associatedBand2.85dbr:London0.10dbr:Canada0.50 dbp:associatedMusicalArtist2.85dbr:Japan0.09dbr:France0.49 Predicates In Triples%Entities In Triples%Entities In Summaries% ...
【064】基于Actor-Critic神经网络的切换拓扑异构多智能体系统最优跟踪控制 既然香遇 1687 0 【065】【免费】面向轨迹跟踪与避碰的无人水面舰船实时非线性模型预测控制(Nonlinear Model Predictive Control ,NMPC) 既然香遇 821 0 【017】MPC模型预测控制从原理到代码实现(基础原理) 既然香遇 1730 0 【284】切...
Few of these neural agents are F1, trained using the Asynchronous Advantage Actor-Critic (A3C) [9], Arnold trained using the Deep Q-Network (DQN), and TUHO trained using the Dueling DQN [35]. The performance of these neural agents heavily relies on the neural network that resides within ...
However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is ...
Real Data. Our real dataset contains four sequences of humans, two with male actors, two with a female actor. The sequences capture various hair styles such as short hair, long hair and a hair bun. All sequences show the subjects dur- ing a natural conversation in front of a green ...
et al. Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media. Nat. Mach. Intell. 2, 403–410 (2020). Article Google Scholar Karniadakis, G. E. et al. Physics-informed machine learning. Nat. Rev. Phys. 3...
Project web- site: https://neural-3d-video.github.io/. ∗ Equal contribution. TL's work was done during an internship at Reality Labs Research. Photorealistic representation and rendering of dynamic real-world scenes are highly challenging research topics, yet with many important applications ...
Spiking Neural Networks (SNNs) stand as the third generation of Artificial Neural Networks (ANNs), mirroring the functionality of the mammalian brain more closely than their predecessors. Their computational units, spiking neurons, characterized by Ordinary Differential Equations (ODEs), allow for dynamic...
Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper] Continual Learning in Generative Adversarial Nets [arXiv] C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv] CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [ar...