Search Results for author: Yiqing Xu

Found 9 papers, 3 papers with code

LLMs for Robotic Object Disambiguation

no code implementations7 Jan 2024 Connie Jiang, Yiqing Xu, David Hsu

The advantages of pre-trained large language models (LLMs) are apparent in a variety of language processing tasks.

Decision Making Navigate +2

Learning Reward for Physical Skills using Large Language Model

no code implementations21 Oct 2023 Yuwei Zeng, Yiqing Xu

We aim to extract task knowledge from LLMs using environment feedback to create efficient reward functions for physical skills.

Language Modelling Large Language Model

"Tidy Up the Table": Grounding Common-sense Objective for Tabletop Object Rearrangement

no code implementations21 Jul 2023 Yiqing Xu, David Hsu

Tidying up a messy table may appear simple for humans, but articulating clear criteria for tidiness is challenging due to the ambiguous nature of common sense reasoning.

Common Sense Reasoning

On the Effective Horizon of Inverse Reinforcement Learning

no code implementations13 Jul 2023 Yiqing Xu, Finale Doshi-Velez, David Hsu

Inverse reinforcement learning (IRL) algorithms often rely on (forward) reinforcement learning or planning over a given time horizon to compute an approximately optimal policy for a hypothesized reward function and then match this policy with expert demonstrations.

Computational Efficiency reinforcement-learning

Hierarchically Regularized Entropy Balancing

1 code implementation ACM 2022 Yiqing Xu

We introduce hierarchically regularized entropy balancing as an extension to entropy balancing, a reweighting method that adjusts weights for control group units to achieve covariate balance in observational studies with binary treatments.

Receding Horizon Inverse Reinforcement Learning

no code implementations9 Jun 2022 Yiqing Xu, Wei Gao, David Hsu

Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations.

reinforcement-learning Reinforcement Learning (RL)

Factor Graph Molecule Network for Structure Elucidation

no code implementations10 Dec 2020 Hieu Le Trung, Yiqing Xu, Wee Sun Lee

Designing a network to learn a molecule structure given its physical/chemical properties is a hard problem, but is useful for drug discovery tasks.

Drug Discovery Relational Reasoning

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