2 papers
cs.AI2023
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Ekaterina Nikonova, Cheng Xue, Jochen Renz
Deep reinforcement learning suffers from catastrophic forgetting and sample inefficiency making it less applicable to the ever-changing real world. However, the ability to use prev…
cs.AI2021
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…