1 citations · 1 across the 6 of their papers we have counts for
7 papers
Physics-Based Task Generation through Causal Sequence of Physical Interactions
Chathura Gamage, Vimukthini Pinto, Matthew Stephenson +1
Performing tasks in a physical environment is a crucial yet challenging problem for AI systems operating in the real world. Physics simulation-based tasks are often employed to fac…
NovPhy: A Testbed for Physical Reasoning in Open-world Environments
Chathura Gamage, Vimukthini Pinto, Cheng Xue +4
Due to the emergence of AI systems that interact with the physical environment, there is an increased interest in incorporating physical reasoning capabilities into those AI system…
Measuring Difficulty of Novelty Reaction
Ekaterina Nikonova, Cheng Xue, Vimukthini Pinto +3
Current AI systems are designed to solve close-world problems with the assumption that the underlying world is remaining more or less the same. However, when dealing with real-worl…
Phy-Q as a measure for physical reasoning intelligence
Cheng Xue, Vimukthini Pinto, Chathura Gamage +3
Humans are well-versed in reasoning about the behaviors of physical objects and choosing actions accordingly to accomplish tasks, while it remains a major challenge for AI. To faci…
Deceptive Level Generation for Angry Birds
Chathura Gamage, Matthew Stephenson, Vimukthini Pinto +1
The Angry Birds AI competition has been held over many years to encourage the development of AI agents that can play Angry Birds game levels better than human players. Many differe…
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning
Cheng Xue, Vimukthini Pinto, Chathura Gamage +2
Reasoning about the behaviour of physical objects is a key capability of agents operating in physical worlds. Humans are very experienced in physical reasoning while it remains a m…
The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds
Vimukthini Pinto, Cheng Xue, Chathura Nagoda Gamage +2
Detecting and responding to novel situations in open-world environments is a key capability of human cognition and is a persistent problem for AI systems. In an open-world, novelti…