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Found 6 papers, 3 papers with code
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
For an agent to be successful in these scenarios, it has to have a suitable cooperative skill.
Versatile modular neural locomotion control with fast learning
In a series of experiments, we show how eight modules can be quickly learned and added to a base control module to obtain emergent adaptive behaviors allowing a hexapod robot to navigate in complex environments.
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.
Human-Computer Interaction Signal Processing
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
In this work, we propose a framework, called SPLIT, which allows us to disentangle local and global information into two separate sets of latent variables within the variational autoencoder (VAE) framework.
Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots
The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow the animals to deal with changes in environmental conditions, like uneven terrains, gaps, obstacles etc.
Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation
To address this problem, we extend the single chaotic CPG to multiple CPGs with learning.
