IEEE

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction

Abstract: Deep reinforcement learning (RL) typically requires a tremendous number of training samples, which are not practical in many applications. State abstraction and world models are two ...
Interesting Engineering

Video: New AI model gives humanoid robots 90 percent success in complex missions

Flexion's Reflect v1.0 enables humanoid robots to complete complex multi-step tasks, raising mission success from 38 percet ...
Decrypt

Ornith Is the Open-Source Coding Model Built for Agents, Not Humans

Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.

Prompts Are The New Malware As Enterprise AI Defenses Fall Behind

CrowdStrike data and OpenAI's admission confirm prompt injection as a dominant enterprise AI attack vector. 65% of ...
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 ...
Interesting Engineering

US firm to deploy humanoid robot teaching assistant in New York schools

Humanoid robots enter US classrooms as AI tutors and lifelike assistants transform learning for hundreds of students.

Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents

Agent-testing startup Patronus AI, founded by former Meta AI researchers, is experiencing nearly insatiable demand, its ...
IEEE

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection

Abstract: Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention. Various constrained multi-objective optimization evolutionary ...