In 2024, significant progress has been made in the field of “multimodal + reinforcement learning”. Researchers have proposed various innovative methods to integrate data from different modalities to enhance the performance and applicability of reinforcement learning algorithms. For example, methods mentioned in the literature include utilizing Masked Multimodal Learning to achieve the fusion of visual … Read more
1. Artificial Intelligence In 1956, computer scientist John McCarthy proposed the concept of “Artificial Intelligence”, which refers to machines that possess human-like intelligence characteristics when performing tasks, including the ability to organize and understand language, recognize objects and sounds, as well as learn and solve problems. Since the concept of artificial intelligence was proposed, the … Read more
Source: DeepHub IMBA This article is approximately 3600 words long, and it is recommended to read it in 7 minutes. This article will systematically elaborate on the technical details of the SAC algorithm. Deep reinforcement learning is one of the most challenging research directions in the field of artificial intelligence, with its design concept originating … Read more
PyTorch is one of the mainstream deep learning frameworks today, designed for minimal encapsulation and intuitive design, making PyTorch code easier to understand and very friendly for beginners. This article mainly introduces the reinforcement learning section in the field of deep learning. 1 What is Reinforcement Learning Reinforcement learning is an important branch of machine … Read more
Selected from arXiv Authors: Andrea Banino et al. Compiled by Machine Heart Editors: Chen Ping, Du Wei Researchers from DeepMind proposed the CoBERL agent for reinforcement learning, which combines a new contrastive loss with a hybrid LSTM-transformer architecture to improve data processing efficiency. Experiments show that CoBERL can continuously improve performance across the entire Atari … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering audiences of NLP master’s and doctoral students, university teachers, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial communities of natural language processing and machine learning, especially for beginners. … Read more
Recently, ChatGPT has gone completely viral. People all over the world are flirting with ChatGPT. However, many friends are still confused. What exactly is this thing? What can it do? Here is an excellent article that provides a detailed introduction to the ins and outs of ChatGPT.After reading it, you will also become a semi-expert! … Read more
“DeepNash is an autonomous agent capable of learning Stratego from scratch to reach human expert level. Stratego is one of the few iconic board games that artificial intelligence (AI) has yet to master. This game not only has a vast game tree, but DeepNash also needs to make decisions under conditions of incomplete information. Decisions … Read more
Previous Review Recommended Article: Control Strategy for Air Combat Swarm Based on Hierarchical Reinforcement Learning Recommended Article: Software-Defined Command and Control System Architecture Design Method This article was published in “Command Information Systems and Technology”, 2023, Issue 5Authors: Wen Yongming, Li Boyan, Zhang Ningning, Li Xiaojian, Xiong Chuyi, Liu JiexiaCitation format:Wen Yongming, Li Boyan, Zhang … Read more