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06/28/2023
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces
The ability to learn robust policies while generalizing over large discr...
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10/28/2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning
A significant challenge in reinforcement learning is quantifying the com...
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03/02/2022
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management
Most existing literature on supply chain and inventory management consid...
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03/02/2022
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning
Exploration versus exploitation dilemma is a significant problem in rein...
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12/16/2021
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
We describe a novel decision-making problem developed in response to the...
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02/23/2021
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Pommerman is a hybrid cooperative/adversarial multi-agent environment, w...
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11/01/2020
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication
We describe our solution approach for Pommerman TeamRadio, a competition...
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06/07/2020
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
This paper describes the application of reinforcement learning (RL) to m...
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11/12/2019
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
The Pommerman simulation was recently developed to mimic the classic Jap...
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11/07/2019
Characterizing behavioral trends in a community driven discussion platform
This article presents a systematic analysis of the patterns of behavior ...
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10/01/2019
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems
This paper describes a purely data-driven solution to a class of sequent...
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09/19/2018
Analyzing behavioral trends in community driven discussion platforms like Reddit
The aim of this paper is to present methods to systematically analyze in...
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02/25/2018