This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks
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Updated
May 17, 2023 - Jupyter Notebook
This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks
Repository for "Blending Data-Driven Priors in Dynamic Games" - RSS 2024
Game theoretic analysis of dynamic games and relational contracts in R
Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games
This project studies the problem of a team manager in a competitive league, where the manager is required to make decisions about the overall effort (energy) level that the team exerts in each game, across the whole season. Decisions are modelled as a Markov Decision Process, and the model is solved computationally in Python.
Solver and library for POSGs.
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