IEEE

Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games

Abstract: Despite the significant advancements in single-agent evolutionary reinforcement learning, research exploring evolutionary reinforcement learning within multi-agent systems is still in its ...
GitHub

LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion. (ICLR'24)

LyCORIS currently contains LoRA (LoCon), LoHa, LoKr, (IA)^3, DyLoRA, Native fine-tuning (aka dreambooth). GLoRA and GLoKr are coming soon. Please check List of Implemented Algorithms and Guidelines ...
Local News 8

“Learning to help”: Dora Erickson Elementary Students master the ‘Domino Effect’ of good deeds

IDAHO FALLS, Idaho (KIFI) — One good deed is always followed by another; That's the important lesson Students at Dora Erickson Elementary are learning with a cereal box food drive. Jami Moore, a gym ...
IEEE

Human Strategy Learning-Based Multi-Agent Deep Reinforcement Learning for Online Team Sports Game

Abstract: In 3 vs. 3 online basketball games, finite state machine (FSM)-based Game artificial intelligence (AI) has traditionally been employed. However, limitations such as repetitive behavior ...
GitHub

Tackling the UNO Card Game with Reinforcement Learning

In this project I tried to analytically derive an optimal strategy, for the classic UNO card game. To do so, I structured my work as follows: Creating a game engine of the UNO card game in Python from ...