GitHub

Deep Reinforcement Learning for Robotic Grasping from Octrees

This project focuses on applying deep reinforcement learning to acquire a robust policy that allows robots to grasp diverse objects from compact 3D observations in the form of octrees. Evaluation of a ...
Aalto University

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Analytics Insight

Best Physical AI Development Tools and Frameworks in 2026

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
GitHub

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

All modules require Python 3.6 or above. Note that support for Python 3.7 in TensorFlow is experimental at the time of writing, and requirements may need to be ...
IEEE

Optimizing Dynamic Computing Environments Using Adaptive Intelligent Load Balancing

Abstract: Cloud computing environments are inherently dynamic, characterized by fluctuating workloads and resource availability, which poses significant challenges for traditional load balancing ...
IEEE

Energy-Saving Full-Body Control of Hybrid Vehicles Through Deep Reinforcement Learning

Abstract: Deep reinforcement learning (DRL) algorithms have become an essential approach for enabling autonomous evolution in artificial intelligence (AI) models. As the representative form, ...