Shaping Mario with Human Advice (Demonstration)
Title | Shaping Mario with Human Advice (Demonstration) |
Publication Type | Conference Paper |
Year of Publication | 2015 |
Authors | Harutyunyan, A, Brys, T, Vrancx, P, Nowe, A |
Conference Name | International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-15) |
Publisher | To appear |
Abstract | In this demonstration, we allow humans to interactively advise a Mario agent during learning, and observe the resulting changes in performance, as compared to its unadvised counterpart. We do this via a novel potential-based reward shaping framework, capable for the first time of handling the scenario of online feedback. |