Jonathan P. Shock
Orcid: 0000-0003-3757-0376
According to our database1,
Jonathan P. Shock
authored at least 10 papers
between 2015 and 2023.
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Bibliography
2023
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning.
CoRR, 2023
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning.
CoRR, 2023
Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning.
CoRR, 2023
Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
2021
CoRR, 2021
2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness.
Comput. Biol. Medicine, 2019
2015