IEEE18 天
Multiagent Reinforcement Learning for Nash Equilibrium Seeking in General-Sum Markov Games
Abstract: This article studies the problem of noncooperative multiagent reinforcement learning (MARL), where selfish agents play a general-sum Markov game. We consider the framework where no agent has ...
HR Dive27 天
How one company used its leadership book club to promote a learning culture
Book clubs are a boon for an organization's learning and development (L&D) strategy, especially with leadership involvement. According to a 2024 survey conducted by OverDrive and HR Dive ...
IEEE1 个月
Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning
Abstract: We investigate the decentralized nonparametric policy evaluation problem within reinforcement learning (RL), focusing on scenarios where multiple agents collaborate to learn the state-value ...
GitHub7 个月
Unity ML-Agents Toolkit
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...
eLife9 年
Learning the specific quality of taste reinforcement in larval Drosophila
The only property of reinforcement insects are commonly thought to learn about is its value. We show that larval Drosophila not only remember the value of reinforcement (How much?), but also its ...