Praveen K. Pilly

Orcid: 0000-0001-9762-2882

According to our database1, Praveen K. Pilly authored at least 27 papers between 2012 and 2023.

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Bibliography

2023
A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks, March, 2023

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning.
CoRR, 2023

2022
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

Context meta-reinforcement learning via neuromodulation.
Neural Networks, 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

Lifelong Reinforcement Learning with Modulating Masks.
CoRR, 2022

Concept-modulated model-based offline reinforcement learning for rapid generalization.
CoRR, 2022

A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations.
Proceedings of the Towards Autonomous Robotic Systems - 23rd Annual Conference, 2022

Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning.
Proceedings of the From Animals to Animats 16, 2022

Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error.
Proceedings of the From Animals to Animats 16, 2022

2021
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations.
CoRR, 2021

Lifelong Learning with Sketched Structural Regularization.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Neuromodulated attention and goal-driven perception in uncertain domains.
Neural Networks, 2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.
Frontiers Neurorobotics, 2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Generative Continual Concept Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hypercolumn Sparsification for Low-Power Convolutional Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., 2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.
CoRR, 2019

Attention-Based Structural-Plasticity.
CoRR, 2019

Using World Models for Pseudo-Rehearsal in Continual Learning.
CoRR, 2019

Neuromodulated Goal-Driven Perception in Uncertain Domains.
CoRR, 2019

Probabilistic Program Neurogenesis.
Proceedings of the 2019 Conference on Artificial Life, 2019

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016
On comparing in vivo intracranial recordings in non-human primates to predictions of optimized transcranial electrical stimulation.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2012
How Entorhinal Grid Cells May Learn Multiple Spatial Scales from a Dorsoventral Gradient of Cell Response Rates in a Self-organizing Map.
PLoS Comput. Biol., 2012

How Do Spatial Learning and Memory Occur in the Brain? Coordinated Learning of Entorhinal Grid Cells and Hippocampal Place Cells.
J. Cogn. Neurosci., 2012


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