The Information

‘Reinforcement Learning Gym’ Startup, Buoyed by Labs’ Appetite For Training Data, Reaches $750 Million Valuation

AI developers are getting more creative in how they acquire data to train AI models. For instance, they’re paying startups to develop copies of popular apps, like Salesforce or Excel, to teach models ...
Semiconductor Engineering

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
IEEE

Visual Reinforcement Learning with Multi-Objective Representation Alignment

Abstract: Visual reinforcement learning (VRL) aims to learn optimal policies directly from pixel data, which holds significant potential for applications in control systems characterized by data ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Attention-Guided Reinforcement Learning for Visual Servoing Control of Multirotor UAVs

Abstract: To address the challenges of dynamic perception, real-time decision-making, and control stability in UAV visual tracking tasks, this study proposes an Attention-guided Visual Servoing ...
blockchain

Reinforcement Learning Explained: Visual Guide to AI Training Techniques and Business Applications

According to God of Prompt on Twitter, a recent visual demonstration by @deliprao illustrates how Reinforcement Learning (RL) operates, highlighting the core cycle of agent-environment interaction, ...
marktechpost

Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems

How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
GitHub

visual-reinforcement-learning

This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way ...