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Alexander Tuisov

3 accepted papers

2026

Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets

AAAI 2026technical

The objective of this study is to advance the optimization of hybrid electricity markets using multi-agent reinforcement learning (MARL). The transition from centralized systems to public–private models introduces significant challenges, including the emergence of independent market players and the

Cited by 0SourcePDFScholar
2025

Towards a Unified View of Social Laws with Instantaneous Actions

IJCAI 2025

Multiple agents operating in a shared environment can interfere with each other’s ability to reach their goals. One of the approaches to address this issue is enacting a social law – a set of rules that restricts some possible behaviors of the agents. A social law is considered robust if it guarante

Cited by 0SourcePDFScholar