Education
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
Human beings are able to transfer the policies swiftly to a structurally similar task.
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu
This title draws inspiration from the chameleon's ability to adapt and blend into its surroundings, which parallels
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
The circles and crosses represent the object and goal positions, respectively.
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge.
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Procedural activities are sequences of key-steps aimed at achieving specific goals. They are crucial to build intelligent agents able to assist users effectively.
