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08/03/2023
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
In this work, we make the first attempt to evaluate LLMs in a more chall...
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06/09/2023
Robust Reinforcement Learning via Adversarial Kernel Approximation
Robust Markov Decision Processes (RMDPs) provide a framework for sequent...
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05/07/2023
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Unit testing is essential in detecting bugs in functionally-discrete pro...
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01/31/2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
We present an efficient robust value iteration for -rectangular robust M...
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11/13/2022
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
As the popularity of graph data increases, there is a growing need to co...
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10/24/2022
Reachability-Aware Laplacian Representation in Reinforcement Learning
In Reinforcement Learning (RL), Laplacian Representation (LapRep) is a t...
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10/03/2022
Policy Gradient for Reinforcement Learning with General Utilities
In Reinforcement Learning (RL), the goal of agents is to discover an opt...
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09/20/2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
The cooperative Multi-A gent R einforcement Learning (MARL) with permuta...
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05/28/2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization
Robust Markov decision processes (MDPs) provide a general framework to m...
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05/23/2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
How to accurately predict the properties of molecules is an essential pr...
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01/30/2022
The Geometry of Robust Value Functions
The space of value functions is a fundamental concept in reinforcement l...
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07/12/2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
The Laplacian representation recently gains increasing attention for rei...
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10/21/2020
Improving Generalization in Reinforcement Learning with Mixture Regularization
Deep reinforcement learning (RL) agents trained in a limited set of envi...
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08/18/2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Despite the great progress made by deep CNNs in image semantic segmentat...
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07/12/2019