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Multi-Agent Credit Assignment in Stochastic Resource Management Games
(2017-08)
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 ...
Policy Invariance under Reward Transformations for Multi-Objective Reinforcement Learning
(2017)
Reinforcement Learning (RL) is a powerful and well-studied Machine Learning
paradigm, where an agent learns to improve its performance in an environment
by maximising a reward signal. In multi-objective Reinforcement
Learning ...