Now showing items 1-3 of 3
Multi-Agent Credit Assignment in Stochastic Resource Management Games
Multi-Agent Systems (MAS) are a form of distributed intelligence, where multiple autonomous agents act in a common environment. Numerous complex, real world systems have been successfully optimised using Multi-Agent ...
Analysing the Effects of Reward Shaping in Multi-Objective Stochastic Games
The majority ofMulti-Agent Reinforcement Learning (MARL) implementations aim to optimise systems with respect to a single objective, despite the fact that many real world problems are inherently multi-objective in nature. ...
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games
Reward shaping has been proposed as a means to address the credit assignment problem in Multi-Agent Systems (MAS). Two popular shaping methods are Potential-Based Reward Shaping and di erence rewards, and both have been ...