相反,我们的工作有一个正交的目标:发现对更广泛的智能体和环境有效的通用算法,而不是适应特定的环境。 Discovering Reinforcement Learning Algorithms已经进行了一些尝试,以从与环境分布的交互中学习通用算法(请参见表1进行比较)。EPG[15]使用进化策略来找到策略更新规则。Zheng et al.[39]表明,可以通过奖励函数的形式...
另外,由于所提出方法的数据驱动性质,所得算法可能会捕获环境训练集中的意外偏差。 参考:Discovering Reinforcement Learning Algorithms Junhyuk Oh,Matteo Hessel,Wojciech M. Czarnecki,Zhongwen Xu,Hado van Hasselt,Satinder Singh,David Silver arXiv:2007.08794[cs.LG] Submitted on 17 Jul 2020 ...
正文链接:Discovering faster matrix multiplication algorithms with reinforcement learning - Nature 附录链接:static-content.springer.com 官方blog: Discovering novel algorithms with AlphaTensor alphazero 以及 sampled alphazero相关内容可移步:强化学习实验室:model based专题三--MuZero系列 二、方法 如果一个实际应用...
Our results show that the discovered symbolic policies are interpretable and perform well compared to standard DRL algorithms. Additionally, the discovered policies in surrogate models exhibit transferability to physics-based environments with minimal performance degradation....
We find that in general nodes belonging to the same class block together, the community structures of the Reinforcement Learning and the Genetic Algorithms are more significant with the highest sub-network density 0.017 and 0.009 compared with the whole network’s density 0.001. The visualization of...
IDSs have been designed based on machine and deep learning algorithms to recognize cyber threats [1,5]. Deep learning algorithms have proven their capability in different applications, such as computer vision and malware detection [5]. Deep learning can be categorized on its architecture into genera...
For manuscripts utilizing custom algorithms or software that are central to the research but not yet described in published literature, software must be made available to editors and reviewers. We strongly encourage code deposition in a community repository (e.g. GitHub). See the Nat...
Pioneering works applied reinforcement learn- ing [48], evolutionary algorithms [30, 38], and Bayesian optimization [22] for the architecture search, but the large computational overhead prohibits practical deployment of NAS algorithms. Therefore, it is desirable t...
replicability [12]. This is justified as most social robots (and their algorithms) on the market have been developed for children in typical education and may not meet the needs of children with special behavior, perception and emotional reactions [13]. Overall, the healthcare domain is an ...
Discovering faster matrix multiplication algorithms with reinforcement learning 2 code implementations • Nature 2022 Particularly relevant is the case of 4 × 4 matrices in a finite field, where AlphaTensor’s algorithm improves on Strassen’s two-level algorithm for the first time, to our ...