Reinforcement Learning

Google Research Explores: Can AI Feedback Replace Human Input for Effective Reinforcement Learning in Large Language Models?

Human feedback is essential to improve and optimize machine learning models. In recent years, reinforcement learning from human feedback (RLHF) has proven extremely effective...

DeepMind Researchers Introduce Reinforced Self-Training (ReST): A Simple algorithm for Aligning LLMs with Human Preferences Inspired by Growing Batch Reinforcement Learning (RL)

Large language models (LLMs) are outstanding at producing well-written content and resolving various linguistic problems. These models are trained using vast volumes of text...

DeepMind Researchers Introduce AlphaStar Unplugged: A Leap Forward in Large-Scale Offline Reinforcement Learning by Mastering the Real-Time Strategy Game StarCraft II

Games have long served as crucial testing grounds for evaluating the capabilities of artificial intelligence (AI) systems. As AI technologies have evolved, researchers have...

Stanford Researchers Explore Emergence of Simple Language Skills in Meta-Reinforcement Learning Agents Without Direct Supervision: Unpacking the Breakthrough in a Customized Multi-Task Environment

A research team from Stanford University has made groundbreaking progress in the field of Natural Language Processing (NLP) by investigating whether Reinforcement Learning (RL)...

UC Berkeley Researchers Introduce Video Prediction Rewards (VIPER): An Algorithm That Leverages Pretrained Video Prediction Models As Action-Free Reward Signals For Reinforcement Learning

Designing a reward function by hand is time-consuming and can result in unintended consequences. This is a major roadblock in developing reinforcement learning (RL)-based...

Meet MACTA: An Open-Sourced Multi-Agent Reinforcement Learning Approach for Cache Timing Attacks and Detection

We are deluged with multiple forms of data. Be it data from a financial sector, healthcare, educational sector, or an organization. Privacy and security...

5 Reasons Why Large Language Models (LLMs) Like ChatGPT Use Reinforcement Learning Instead of Supervised Learning for Finetuning

With the huge success of Generative Artificial Intelligence in the past few months, Large Language Models are continuously advancing and improving. These models are...

Do You Really Need Reinforcement Learning (RL) in RLHF? A New Stanford Research Proposes DPO (Direct Preference Optimization): A Simple Training Paradigm For Training...

When trained on massive datasets, huge unsupervised LMs acquire powers that surprise even their creators. These models, however, are trained on information produced by...

A New Deep Reinforcement Learning (DRL) Framework can React to Attackers in a Simulated Environment and Block 95% of Cyberattacks Before They Escalate

Cybersecurity defenders must dynamically adapt their techniques and tactics as technology develops and the level of complexity in a system surges. As machine learning...

UC Berkeley Researchers Propose FastRLAP: A System for Learning High-Speed Driving via Deep RL (Reinforcement Learning) and Autonomous Practicing

Researchers from the University of California, Berkeley, have developed a system called FastrLap that uses machine learning to teach autonomous vehicles to drive aggressively...

Superhuman Performance on the Atari 100K Benchmark: The Power of BBF – A New Value-Based RL Agent from Google DeepMind, Mila, and Universite de...

Deep reinforcement learning (RL) has emerged as a powerful machine learning algorithm for tackling complex decision-making tasks. To overcome the challenge of achieving human-level...

DeepMind Introduces AlphaDev: A Deep Reinforcement Learning Agent Which Discovers Faster Sorting Algorithms From Scratch

From Artificial Intelligence and Data Analysis to Cryptography and Optimization, algorithms play an important role in every domain. Algorithms are basically a set of...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

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The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

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Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

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Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

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