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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.
24 de nov. de 2022 · Melting Pot is a research tool developed to facilitate work on multi-agent artificial intelligence, and provides an evaluation protocol that measures generalization to novel social partners in a set of canonical test scenarios.
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.
The combination of mixed-motive scenarios, generalisation testing, and large populations makes Melting Pot a uniquely challenging and relevant multi-agent reinforcement learning benchmark.
14 de jul. de 2021 · Melting Pot assesses generalization to novel social situations involving both familiar and unfamiliar individuals, and has been designed to test a broad range of social interactions such as: cooperation, competition, deception, reciprocation, trust, stubbornness and so on.
Melting Pot Evaluation Results. This Colab plots results of the MAPLA evaluations outlined in the Melting Pot 2.0 Tech Report. Click "Connect" in the top right corner. Select "Runtime ->...
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).
