Quesma Releases OTelBench: Independent Benchmark Reveals Frontier LLMs Struggle with Real-World SRE Tasks

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Enhancing University Building Energy Flexibility Performance Using Reinforcement Learning Control

Abstract: The Building Energy Flexibility (BEF) system has the potential to reduce carbon emissions and energy consumption by integrating flexible loads and renewable energy sources. However, without ...
GitHub

InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning

Building upon our previous work InftyThink, we introduce InftyThink+, an end-to-end reinforcement learning framework that directly optimizes the complete iterative reasoning trajectory. Building on ...
The Star

Reinforcement learning session gathers experts

First row standing: Prof Randy Goebel, Founder of Openmind Research Institute (ninth from left), Prof Datuk Dr Ewe (tenth from left) Second row standing: Joseph Modayil, President and Founder of ...
IEEE

Encoding High-Level Knowledge in Offline Multi-Agent Reinforcement Learning Using Reward Machines

Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...
GitHub

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...