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Hyunjae Woo

2 accepted papers

2022

Fast inference and transfer of compositional task structures for few-shot task generalization

UAI 2022poster

We tackle real-world problems with complex structures beyond the pixel-based game or simulator. We formulate it as a few-shot reinforcement learning problem where a task is characterized by a subtask graph that defines a set of subtasks and their dependencies that are unknown to the agent. Different…

Cited by 0SourcePDFScholar
2020

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

ICLR 2020poster

We propose and address a novel few-shot RL problem, where a task is characterized by a subtask graph which describes a set of subtasks and their dependencies that are unknown to the agent. The agent needs to quickly adapt to the task over few episodes during adaptation phase to maximize the return i…

Cited by 58SourcecodeScholar