Resultado de búsqueda
The combination of mixed-motive scenarios, generalisation testing, and large populations makes Melting Pot a uniquely challenging and relevant multi-agent reinforcement learning benchmark.
We are excited to announce the Melting Pot Contest at NeurIPS 2023, organised by researchers from the Cooperative AI Foundation, MIT, and Google DeepMind. This new competition challenges researchers to push the boundaries of multi-agent reinforcement learning (MARL) for mixed-motive cooperation.
Melting Pot offers researchers a set of over 50 multi-agent reinforcement learning substrates (multi-agent games) on which to train agents, and over 256 unique test scenarios on which to evaluate these trained agents.
Gilson Melting Pots are ideal for preparing capping compounds, wax, tars, liquid asphalt, and other materials in the lab. Each Melting Pot has precision temperature controls that hold consistently to a set point from 100°–320°F (38°–160°C).
Melting Pots are ideal for preparing capping compounds, wax, tars, liquid asphalt, and other materials in the lab. Each Melting Pot has precision temperature controls that hold consistently to a set point from 100°—320°F (38°—160°C). A high limit control automatically turns pots off at 360°F (182°C).
Mouse Bot - Gameplay Walkthrough Part 5 | Lab 7: The Melting Pot (Android, iOS) Mouse Bot Walkthrough Playlist - https://youtube.com/playlist?list=PLib_gz2td...
Setup. How do I specify my software runtime / dependencies? What should my code structure be like? How to make a submission?
