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Publication search results
found 24 matches
- 2024
- Raphaël Chekroun, Han Wang, Jonathan W. Lee, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde, Maria Laura Delle Monache:
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction. CoRR abs/2402.05663 (2024) - Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan P. Shock, Arnu Pretorius:
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation. CoRR abs/2406.09068 (2024) - Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan P. Shock, Arnu Pretorius:
Coordination Failure in Cooperative Offline MARL. CoRR abs/2407.01343 (2024) - 2023
- Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. AAMAS 2023: 2442-2444 - Edan Toledo, Jan Buys, Jonathan Shock:
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments. EACL 2023: 1222-1234 - Yuxuan Zhou, Jonathan Gosling, Mohamed M. Naim, Xun Wang:
The Resilience of an ETO Archetype to Demand Shocks. APMS (3) 2023: 229-241 - Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch:
Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling! SemEval@ACL 2023: 969-977 - Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning. CoRR abs/2302.00521 (2023) - Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius:
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR abs/2304.00977 (2023) - Rowan Hodson, Bruce Bassett, Charel van Hoof, Benjamin Rosman, Mark Solms, Jonathan P. Shock, Ryan Smith:
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning. CoRR abs/2308.08029 (2023) - 2022
- Martin Lindberg, Andris Vaivads, Savvas Raptis, Per-Arne Lindqvist, Barbara L. Giles, Daniel Jonathan Gershman:
Electron Kinetic Entropy across Quasi-Perpendicular Shocks. Entropy 24(6): 745 (2022) - Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency over the Ages. LOD (2) 2022: 525-548 - Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency Over The Ages. CoRR abs/2202.11690 (2022) - 2021
- Arnu Pretorius, Kale-ab Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan P. Shock, Herman Kamper, Willie Brink, Herman A. Engelbrecht, Alexandre Laterre, Karim Beguir:
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR abs/2107.01460 (2021) - St John Grimbly, Jonathan P. Shock, Arnu Pretorius:
Causal Multi-Agent Reinforcement Learning: Review and Open Problems. CoRR abs/2111.06721 (2021) - 2020
- Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. NeurIPS 2020 - Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR abs/2010.07777 (2020) - 2019
- Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon:
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness. Comput. Biol. Medicine 107: 145-152 (2019) - 2017
- Peter Golding, Sam Kapadia, Stella Naylor, Jonathan Schulz, Holger R. Maier, Upmanu Lall, Marijn Van der Velde:
Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation. Environ. Model. Softw. 95: 303-319 (2017) - 2016
- Jonathan P. Mailoa:
Beyond the Shockley-Queisser limit: intermediate band and tandem solar cells leveraging silicon and CdTe technology. Massachusetts Institute of Technology, Cambridge, USA, 2016 - Thomas Moyer, Jonathan Stergiou, Garth Reese, James Luton, Najib Abboud:
Navy Enhanced Sierra Mechanics (NESM): Toolbox for Predicting Navy Shock and Damage. Comput. Sci. Eng. 18(6): 10-18 (2016) - 2015
- T. Clingman, Jeff Murugan, Jonathan P. Shock:
Probability Density Functions from the Fisher Information Metric. CoRR abs/1504.03184 (2015) - 2007
- Roswitha Bultmann, Jonathan P. Caulkins, Gustav Feichtinger, Gernot Tragler:
Modeling Supply Shocks in Optimal Control Models of Illicit Drug Consumption. LSSC 2007: 285-292 - 2006
- Jonathan Grudin:
The GUI shock: computer graphics and human-computer interaction. Interactions 13(2): 46- (2006)
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