Abstract: Deep reinforcement learning ... racing agent that relies solely on ego-centric camera views and onboard sensor data, eliminating the need for precise localization during inference. This ...

a multi-agent reinforcement learning (MARL) algorithm, COunterfactual Multi-Agent policy gradients (COMA), which, compared to Multi-agent Advantage Actor-Critic (MA2C), is characterized by its use of ...

This repository contains the code to train a robotic arm to open a door in the Robosuite environment using reinforcement learning (RL) techniques. The goal of this project is to develop an RL-based ...

2410.06934 null 2024-10-09 Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions Muhammad Morshed Alam et.al.

The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this architecture, upper-layer agents manage long-term global optimization tasks, ...

In this paper, we propose the algorithm of Offline Robustness of Distributional actor-critic Ensemble Reinforcement Learning (ORDER) to improve the robustness of policies. In ORDER, we introduce two ...

EncryptHub, a notorious threat actor linked to breaches at 618 organizations, is believed to have reported two Windows zero-day vulnerabilities to Microsoft, revealing a conflicted figure ...

Learning Genie has launched Curriculum Genie—the world's first AI-powered curriculum agent that allows educators to create standards-based, localized curriculum units with 21st-century skills ...

🤔 (Answer below!) Weather forecast: • Established actor continues working at his own company in Cranford (unionnewsdaily.com) — Emilio DiFabio, a well-known actor, continues to manage his ...

the country's first post-Soviet foreign minister who later became a fierce critic of President Vladimir Putin, as a "foreign agent". Kozyrev, who is 74 and lives in the United States, served as ...