Jonathan P. Shock

Orcid: 0000-0003-3757-0376

According to our database1, Jonathan P. Shock authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2016
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2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Opportunities of Reinforcement Learning in South Africa's Just Transition.
CoRR, 2024

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning.
CoRR, 2024

Coordination Failure in Cooperative Offline MARL.
CoRR, 2024

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation.
CoRR, 2024

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 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
Brain Structural Saliency over the Ages.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems.
CoRR, 2021

Mava: a research framework for distributed multi-agent reinforcement learning.
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
Probability Density Functions from the Fisher Information Metric.
CoRR, 2015


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