A multi-agent simulator for generating novelty in monopoly

Author:

Kejriwal MayankORCID,Thomas ShilpaORCID

Funder

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modelling and Simulation,Software

Reference69 articles.

1. Mastering the game of go without human knowledge;Silver;Nature,2017

2. A general reinforcement learning algorithm that masters chess, shogi, and go through self-play;Silver;Science,2018

3. Superhuman AI for multiplayer poker;Brown;Science,2019

4. Grandmaster level in starcraft II using multi-agent reinforcement learning;Vinyals;Nature,2019

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2. Challenges, evaluation and opportunities for open-world learning;Nature Machine Intelligence;2024-06-24

3. Novelty Accommodating Multi-agent Planning in High Fidelity Simulated Open World;Lecture Notes in Computer Science;2024

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5. Multi-agent Game Domain: Monopoly;Synthesis Lectures on Computer Vision;2023-08-02

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