Search Results - "Adamczyk, Jacob"

Entropy regularized reinforcement learning using large deviation theory by Arriojas, Argenis, Adamczyk, Jacob, Tiomkin, Stas, Kulkarni, Rahul V.

“…Reinforcement learning (RL) is an important field of research in machine learning that is increasingly being applied to complex optimization problems in…”
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Effect of Synthesis Temperature on Size, Structure, and Volume Phase Transition of Polysaccharide Microgels by Freeman, Krista G, Adamczyk, Jacob, Streletzky, Kiril A

“…High-molecular-weight polysaccharide microgels were synthesized at a range of temperatures above the polymer lower critical solution temperature (LCST) (ΔT =…”
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Neural Network Degeneration and its Relationship to the Brain by Adamczyk, Jacob

“…This report discusses the application of neural networks (NNs) as small segments of the brain. The networks representing the biological connectome are altered…”
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Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics by Kratz, Josiah C, Adamczyk, Jacob

“…Many organisms and cell types, from bacteria to cancer cells, exhibit a remarkable ability to adapt to fluctuating environments. Additionally, cells can…”
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Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function by Adamczyk, Jacob, Tiomkin, Stas, Kulkarni, Rahul

“…An agent's ability to leverage past experience is critical for efficiently solving new tasks. Approximate solutions for new tasks can be obtained from…”
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Boosting Soft Q-Learning by Bounding by Adamczyk, Jacob, Makarenko, Volodymyr, Tiomkin, Stas, Kulkarni, Rahul V

“…An agent's ability to leverage past experience is critical for efficiently solving new tasks. Prior work has focused on using value function estimates to…”
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Entropy Regularized Reinforcement Learning Using Large Deviation Theory by Arriojas, Argenis, Adamczyk, Jacob, Tiomkin, Stas, Kulkarni, Rahul V

“…Phys. Rev. Research 5, 023085 (2023) Reinforcement learning (RL) is an important field of research in machine learning that is increasingly being applied to…”
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Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning by Adamczyk, Jacob, Arriojas, Argenis, Tiomkin, Stas, Kulkarni, Rahul V

“…In reinforcement learning (RL), the ability to utilize prior knowledge from previously solved tasks can allow agents to quickly solve new problems. In some…”
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Bounding the Optimal Value Function in Compositional Reinforcement Learning by Adamczyk, Jacob, Makarenko, Volodymyr, Arriojas, Argenis, Tiomkin, Stas, Kulkarni, Rahul V

“…In the field of reinforcement learning (RL), agents are often tasked with solving a variety of problems differing only in their reward functions. In order to…”
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