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04/27/2023
Discovering Object-Centric Generalized Value Functions From Pixels
Deep Reinforcement Learning has shown significant progress in extracting...
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09/20/2022
Locally Constrained Representations in Reinforcement Learning
The success of Reinforcement Learning (RL) heavily relies on the ability...
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08/22/2022
Prioritizing Samples in Reinforcement Learning with Reducible Loss
Most reinforcement learning algorithms take advantage of an experience r...
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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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08/17/2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Several real-world scenarios, such as remote control and sensing, are co...
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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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04/21/2020