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Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Innovation Paths for Machine Learning in Robotics
New reinforcement learning algorithm for robot soccer
Deep Reinforcement Learning: A Brief Survey
Using ultrasound images of the forearm to predict finger positions
Tool Use Learning for a Real Robot
Interactive multiple object learning with scanty human supervision
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot
Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning
Explaining the Effects of Clouds on Remote Sensing Scene Classification
Multi-agent reinforcement learning for autonomous vehicles: a survey
On-line object detection: a robotics challenge
DeepWay: A Deep Learning waypoint estimator for global path generation
Using Object Affordances to Improve Object Recognition
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Assessing the Role of Machine Learning in Robotics
Using Classifier System with / without Genetic Algorithm in Robotics Behaviors
Policy regularization for legible behavior
Bayesian active learning for received signal strength-based visible light positioning
On Policy Learning Robust to Irreversible Events: an Application to Robotic In-Hand Manipulation
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control
Q Learning Regression Neural Network
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions
Gumpy: a python toolbox suitable for hybrid brain-computer interfaces
Correctness-guaranteed strategy synthesis and compression for multi-agent autonomous systems
Studying the capabilities of the analytical system based on the machine learning method
A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.
Heuristics-oriented overtaking decision making for autonomous vehicles using reinforcement learning
Learning obstacle avoidance with an operant behavioral model
To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline