Browsing Conference Paper - School of Science, ATU Galway City by Subject "Department of Computer Science & Applied Physics"
Now showing items 1-3 of 3
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Analysing the Effects of Reward Shaping in Multi-Objective Stochastic Games
(2017-05)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. ... -
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
(2019-01)Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind’s AlphaGo. It has been successfully deployed in commercial vehicles like Mobileye’s path ... -
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games
(2017)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 ...