Reinforcement Learning

This AI Paper Unveils an Enhanced CycleGAN Approach for Robust Person Re-identification Across Varied Camera Styles

AI Paper Summary
Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution. Techniques like GAN...

This AI Paper Unveils OpenBA: An Open-Sourced 15B Parameter Bilingual Model Outperforming Predecessors and Aiding Chinese-centric NLP Advancements

AI Shorts
The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to demonstrating tremendous superiority over earlier paradigms for many disciplines when trained on...

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

AI Shorts
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

AI Shorts
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

AI Shorts
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

AI Shorts
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

AI Paper Summary
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...

AI Shorts
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

AI Shorts
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

AI Shorts
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...

AI Shorts
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

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

Computer Vision Meets 🫠 Reinforcement Learning: This AI Research Shows that Reward Optimization is a Viable Option to Optimize a Variety of Computer Vision...

AI Paper Summary
Not how effectively the model maximizes the training goal, but rather how well the predictions are matched with the task risk, i.e., the model's...

New AI Research From Anthropic Shows That Simple Prompting Approaches Can Help Large Language Models (LLMs) Trained With Reinforcement Learning From Human Feedback (RLHF)...

AI Paper Summary
Big language models show negative social prejudices, which can occasionally grow worse with larger models. Scaling model size can improve model performance on a...
123...9Page 1 of 9

Recent articles

Discord Linkedin Reddit Twitter
© Copyright Reserved @2023 Marktechpost Media Inc.

Check Out Our Super Cool AI Research Newsletter While It's Still Free

Read Now
X