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The first comprehensive textbook on multi-agent reinforcement learning, by Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer (MIT Press, 2024). Free PDF, algorithm code and lecture slides.
The first comprehensive textbook on multi-agent reinforcement learning, by Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer (MIT Press, 2024). Free PDF, algorithm code and lecture slides.
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Agent Trading Arena probes numerical understanding of LLM-based trading agents in a zero-sum market simulation
InvestorBench evaluates LLM-based agents on financial decision-making tasks across multiple asset classes and markets
FinMTEB is a finance-specific massive text embedding benchmark with 64 datasets across seven financial NLP task types
