Search
Now showing items 1-2 of 2
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. ...
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 ...