Edwin Zhang

According to our database1, Edwin Zhang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.
CoRR, 2024

Social Environment Design.
CoRR, 2024

Towards Zero Shot Learning in Restless Multi-armed Bandits.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping.
CoRR, 2023

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators.
Proceedings of the International Conference on Machine Learning, 2023

2022
LAD: Language Augmented Diffusion for Reinforcement Learning.
CoRR, 2022

2021
Chatty Goose: A Python Framework for Conversational Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021


Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments.
Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

2020
Rapidly Bootstrapping a Question Answering Dataset for COVID-19.
CoRR, 2020

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned.
CoRR, 2020

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Cydex: Neural Search Infrastructure for the Scholarly Literature.
Proceedings of the First Workshop on Scholarly Document Processing, 2020


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