Search Results for "Multi-agent learning & evaluation for open world games - Sam Devlin, Microsoft Research"

Multi-agent learning & evaluation for open world games - Sam Devlin, Microsoft Research

Coordinated Self-Play to Ad-Hoc Teamwork In Bleeding Edge - Sam Devlin

Reinforcement learning in Minecraft: Challenges and opportunities in multiplayer games

AI and Gaming Research Summit 2021 - AI Agents (Day 1 Track 1.1)

Generalization in Reinforcement Learning with Selective Noise Injection

Towards Ad-Hoc Teamwork for Improved Player Experience | Sam Devlin

AI and Gaming Research Summit 2021 – Welcome and Microsoft Plenary with Phil Spencer, Katja Hofmann

Intro: UK Multi-Agent Systems Symposium - Stefano Albrecht, University of Edinburgh & Turing

CogX 2018 - Learning to Play: The Multi-Agent Reinforcement Learning in Malmö (MARLÖ) Competition

ICCAS2021 MinyoungHwang_Geometric Understanding of Reward Function in Multi-Agent Visual Exploration

Multi-Agent Embodied Question Answering

Multi-agent Systems and Game Theory