Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors | 0 | 0.34 | 2021 |
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies * | 0 | 0.34 | 2020 |
Modeling awake hippocampal reactivations with model-based bidirectional search. | 2 | 0.41 | 2020 |
Periodic movement learning in a soft-robotic arm*. | 0 | 0.34 | 2020 |
How to Reduce Computation Time While Sparing Performance During Robot Navigation? A Neuro-Inspired Architecture for Autonomous Shifting Between Model-Based and Model-Free Learning. | 0 | 0.34 | 2020 |
Adaptive Coordination of Multiple Learning Strategies in Brains and Robots. | 0 | 0.34 | 2020 |
A Deep Learning Approach For Multi-View Engagement Estimation Of Children In A Child-Robot Joint Attention Task | 0 | 0.34 | 2019 |
Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning. | 1 | 0.35 | 2018 |
Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. | 0 | 0.34 | 2018 |
Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction. | 0 | 0.34 | 2018 |
Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. | 0 | 0.34 | 2018 |
Computational Model Of The User'S Learning Process When Cued By A Social Versus Non-Social Agent | 0 | 0.34 | 2018 |
Toward Self-Aware Robots. | 1 | 0.37 | 2018 |
Sequential Action Selection And Active Sensing For Budgeted Localization In Robot Navigation | 0 | 0.34 | 2018 |
Sequential Action Selection for Budgeted Localization in Robots | 0 | 0.34 | 2017 |
Reinforcement Learning for Bio-Inspired Target Seeking. | 0 | 0.34 | 2017 |
A drift diffusion model of biological source seeking for mobile robots. | 1 | 0.37 | 2017 |
Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task | 0 | 0.34 | 2017 |
Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. | 1 | 0.35 | 2017 |
Active exploration in parameterized reinforcement learning. | 0 | 0.34 | 2016 |
Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. | 0 | 0.34 | 2015 |
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots? | 2 | 0.41 | 2015 |
Design of a Control Architecture for Habit Learning in Robots. | 5 | 0.50 | 2014 |
Modelling Individual Differences In The Form Of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach With Factored Representations | 3 | 0.45 | 2014 |
Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy. | 1 | 0.39 | 2012 |
Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task? | 0 | 0.34 | 2012 |
Robot cognitive control with a neurophysiologically inspired reinforcement learning model. | 18 | 1.10 | 2011 |
Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. | 14 | 1.02 | 2010 |
A computational model of integration between reinforcement learning and task monitoring in the prefrontal cortex | 1 | 0.43 | 2010 |
Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection | 4 | 0.49 | 2008 |
Combining self-organizing maps with mixtures of experts: application to an actor-critic model of reinforcement learning in the basal ganglia | 7 | 0.63 | 2006 |
The Psikharpax project: towards building an artificial rat | 31 | 2.28 | 2005 |
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats | 20 | 1.23 | 2005 |