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Found 6 papers, 2 papers with code
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
To this end, we introduce AlberDICE, an offline MARL algorithm that alternatively performs centralized training of individual agents based on stationary distribution optimization.
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
The interplay between exploration and exploitation in competitive multi-agent learning is still far from being well understood.
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Counter-intuitively, insights from normal-form potential games do not carry over as MPGs can consist of settings where state-games can be zero-sum games.
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
Exploration-exploitation is a powerful and practical tool in multi-agent learning (MAL), however, its effects are far from understood.
Q-Learning
Computer Science and Game Theory
Multiagent Systems
Dynamical Systems
93A16, 91A26, 91A68, 58K35
G.3; J.4; F.2.2
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series
Conventional financial models fail to explain the economic and monetary properties of cryptocurrencies due to the latter's dual nature: their usage as financial assets on the one side and their tight connection to the underlying blockchain structure on the other.
On the Equilibrium Uniqueness in Cournot Competition with Demand Uncertainty
We revisit the linear Cournot model with uncertain demand that is studied in Lagerl\"of (2006)* and provide sufficient conditions for equilibrium uniqueness that complement the existing results.
