12 citations · 25 across the 16 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.AI2019★ 1 cited
Using Restart Heuristics to Improve Agent Performance in Angry Birds
Tommy Liu, Jochen Renz, Peng Zhang +1
Over the past few years the Angry Birds AI competition has been held in an attempt to develop intelligent agents that can successfully and efficiently solve levels for the video ga…
cs.CV2019
Support Relation Analysis for Objects in Multiple View RGB-D Images
Peng Zhang, Xiaoyu Ge, Jochen Renz
Understanding physical relations between objects, especially their support relations, is crucial for robotic manipulation. There has been work on reasoning about support relations…
cs.AI2019★ 6 cited
Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds
Matthew Stephenson, Jochen Renz
This paper presents an adaptive level generation algorithm for the physics-based puzzle game Angry Birds. The proposed algorithm is based on a pre-existing level generator for this…