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

EE-RL: Vision Language Guided Reinforcement Learning with Explorer and Expert model for End-to-End Autonomous Driving

EE-RL/ ├─ train.py # Training entry ├─ eval.py # Evaluation entry ├─ config.py # Configuration and algorithm parameters ├─ eval_plots.py # Plotting and summary ├─ utils.py # Utilities ├─ ...

IEEE Rolls Out Large Language Models Virtual Training Course

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
IEEE

Enhancing Belief Propagation Decoding of Polar Codes: A Reinforcement Learning Approach

Abstract: Short block-length polar-like codes showcase exceptional error correction performance (ECP) using sequential decoding or successive cancellation list ...
IEEE

Prompt Optimization Through Reinforcement Learning for Generative Language Model Code Synthesis in Multi-Robot Systems

Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...
GitHub

mll-lab-nu/VAGEN

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Chi Wan, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, ...

NVIDIA Unveils Vera, the CPU for Agents

NVIDIA launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic ...