reinforcement learning - Tech News from Simmons Systems (Page 2)

Tech News from Simmons Systems

reinforcement learning

A collection of 42 posts

DeepMind's DeepNash Agent Masters Complex Stratego Board Game

DeepMind researchers introduce DeepNash, an autonomous AI agent that learns to play the complex board game Stratego at an expert human level. The system uses a novel model-free reinforcement learning approach to navigate the game's massive decision tree and hidden information.

NeurIPS 2022 Opens Call for Papers Across AI Disciplines

The NeurIPS 2022 conference invites researchers to submit original machine learning and AI papers through the OpenReview platform. The interdisciplinary event covers topics ranging from deep learning to neuroscience.

NeurIPS 2022 Opens Call for Papers in Machine Learning and AI

The 36th annual NeurIPS conference invites researchers to submit original work across various AI disciplines. The event brings together experts in machine learning, neuroscience, and optimization for a virtual gathering.

ICLR 2022 Showcases Diverse Advances in Machine Learning Research

The International Conference on Learning Representations (ICLR) 2022 features a massive collection of research papers exploring the frontiers of artificial intelligence. Key topics include generative models, optimization techniques, fairness in AI, and novel approaches to reinforcement learning.

artificial intelligence

AI Predicts Startup Success and Simulates Platform Economies

Researchers use reinforcement learning to reveal how revenue-maximizing platforms impact social welfare during economic shocks, while another AI system predicts which startups will receive funding.

DeepMind AI Successfully Manages Superheated Plasma in Fusion Reactor

DeepMind collaborates with the Swiss Plasma Center to use reinforcement learning for controlling nuclear fusion plasma. This breakthrough demonstrates how artificial intelligence can solve complex physical challenges in the pursuit of clean energy.

OpenAI Launches InstructGPT to Fix Toxicity and Improve Instruction Following

OpenAI introduces InstructGPT, a fine-tuned version of GPT-3 that uses human feedback to reduce toxic outputs and follow instructions more accurately. While this marks a major step in AI alignment, the enhanced capability also introduces new risks for potential misuse.

DeepMind AGI Research Highlights Widespread Unreadiness for Ethical AI

A groundbreaking DeepMind paper argues that reinforcement learning accelerates the path to artificial general intelligence, raising urgent ethical concerns.

artificial intelligence

Top AI and Machine Learning Research Trends Shape 2021

Artificial intelligence research in 2021 focuses heavily on improving large language models and addressing their ethical flaws. Key areas of innovation include natural language processing, computer vision, and reinforcement learning.

NeurIPS 2021 Highlights Top Breakthrough AI Research Papers

NeurIPS 2021 reveals its winning research papers, showcasing major advancements in deep learning theory and reinforcement learning. These award-winning studies push the boundaries of what artificial intelligence models achieve.

Stanford AI Lab Showcases Diverse Research at Virtual ICLR 2021

The Stanford AI Lab presents a wide array of accepted papers at the virtual ICLR 2021 conference, covering topics from few-shot learning to medical imaging.

artificial intelligence

Major AI and Machine Learning Research Trends Shape 2021

Artificial intelligence research in 2021 focuses heavily on advancing large language models, reducing algorithmic bias, and improving computer vision and reinforcement learning. Key tech companies prioritize model scale while researchers seek better efficiency and multilingual capabilities.

Key AI and Machine Learning Research Trends Shaping 2021

Artificial intelligence research in 2021 focuses heavily on improving large language models and addressing their ethical flaws. Major tech companies continue to push the boundaries of natural language processing, computer vision, and reinforcement learning.

UMass CICS Highlights Broad Machine Learning Research Advances in 2021

The UMass Manning College of Information and Computer Sciences publishes an extensive retrospective showcasing numerous machine learning papers from 2021. The featured research spans top conferences like ICML and NeurIPS, covering topics from reinforcement learning to differential privacy.

Cassie Robot Uses Reinforcement Learning to Teach Itself How to Walk

Researchers at UC Berkeley develop a two-legged robot named Cassie that learns to walk through reinforcement learning instead of traditional programming. This approach allows the machine to adapt to different terrains by practicing in a virtual simulation first.