Search Results for author:
Found 6 papers, 4 papers with code
Revealing directed effective connectivity of cortical neuronal networks from measurements
The average synaptic strengths of excitatory incoming and outgoing links are found to increase with the spiking activity in the estimated effective connectivity but not in the functional connectivity estimated using the same sets of voltage measurements.
Robust Learning from Observation with Model Misspecification
Imitation learning (IL) is a popular paradigm for training policies in robotic systems when specifying the reward function is difficult.
Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors
This paper proposes a trajectory generating and tracking method for quadrotor perching that takes the advantages of reinforcement learning controller and traditional controller.
Robotics Systems and Control Systems and Control
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
We study the inverse reinforcement learning (IRL) problem under a transition dynamics mismatch between the expert and the learner.
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
We introduce a sampling perspective to tackle the challenging task of training robust Reinforcement Learning (RL) agents.
Propagation and synchronization of reverberatory bursts in developing cultured networks
We perform computer simulations of the system using a physiological model of spiking networks in two spatial dimensions and find the parameters that reproduce the observed resynchronization of spiking in the bursts.
Neurons and Cognition
