731 citations
- Delft University of TechnologyNL13 papers
- UNSW SydneyAU13 papers
- Princeton UniversityUS10 papers
- QuTechNL10 papers
- University of California, Los AngelesUS10 papers
- Purdue University West LafayetteUS9 papers
- University of CopenhagenDK9 papers
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- University of Wisconsin–MadisonUS7 papers
- Centre for Quantum Computation and Communication TechnologyAU6 papers
- Keio UniversityJP6 papers
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Showing cs.NEShow all
3 papers · 1 filter
cs.NE2021★ 10 cited
Context Meta-Reinforcement Learning via Neuromodulation
Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz +2
Meta-reinforcement learning (meta-RL) algorithms enable agents to adapt quickly to tasks from few samples in dynamic environments. Such a feat is achieved through dynamic represent…
cs.NE2020★ 8 cited
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick +3
Rapid online adaptation to changing tasks is an important problem in machine learning and, recently, a focus of meta-reinforcement learning. However, reinforcement learning (RL) al…
cs.NE2019★ 4 cited
Attention-Based Structural-Plasticity
Soheil Kolouri, Nicholas Ketz, Xinyun Zou +2
Catastrophic forgetting/interference is a critical problem for lifelong learning machines, which impedes the agents from maintaining their previously learned knowledge while learni…