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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
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Spring 2024
Chinese Checkers, a traditional game played on a star-shaped board by 2-6 players, has been a domain for game AI research and has been strongly solved up to a 6×6 board with 6 pieces per player in a two-player game. In this work, we apply the AlphaZero algorithm, known for its success in perfect...
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Spring 2023
In this thesis, we present Approximation Schemes for the Min Sum k Clustering problem on a number of classes of graph metrics. In Min Sum k Clustering problem introduced by Sahni and Gonzalez [22] in 1976, given a graph G(V, E) with metric edge costs and parameter k, we are asked to partition V...
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Spring 2024
Searching for programmatic policies to solve a reinforcement learning problem can be challenging, particularly when dealing with domain-specific languages (DSLs) that define policies with internal states for partially observable Markov decision processes (POMDPs). This is because they lead to...
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Spring 2024
Recent advances in reinforcement learning (RL) and Human-in-the-Loop (HitL) learning have made human-AI collaboration easier for humans to team with AI agents. Leveraging human expertise and experience with AI agents in intelligent systems can be efficient and beneficial. Still, it is unclear to...
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Spring 2017
Edge-labeled graphs are widely used to describe relationships between entities in a database. We study a class of queries on edge-labeled graphs, referred to as exemplar queries, where each query gives an example of what the user is searching for. Given an exemplar query, we study the problem of...