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Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Pedestrian simulation as multi-objective reinforcement learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Coordination and communication in deep multi-agent reinforcement learning
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Deep Reinforcement Learning for Cavity Filter Tuning
New reinforcement learning algorithm for robot soccer
Deep Reinforcement Learning: A Brief Survey
Nash equilibria in human sensorimotor interactions explained by Q-learning with intrinsic costs
Distributed Optimisation in Multi-Agent Systems Through Deep Reinforcement Learning
Interactive generation and learning of semantic-driven robot behaviors
Tool Use Learning for a Real Robot
Comparison of Data Efficiency in Dynamic Routing for Capsule Networks
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning
Interactive multiple object learning with scanty human supervision
Using virtual worlds in distance learning environments
Deep Reinforcement Learning with LSTM-based Exploration Bonus
Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot
Robust Reinforcement Learning in Continuous Action/State Space
ViTT: Towards a Virtual Reality System that Supports the Learning of Ergonomic Patient Transfers
On-line object detection: a robotics challenge
Combining Top-down Spatial Reasoning and Bottom-up Object Class Recognition for Scene Understanding
Reinforcement learning based traffic optimization at an intersection with GLOSA
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
DeepWay: A Deep Learning waypoint estimator for global path generation
Using Classifier System with / without Genetic Algorithm in Robotics Behaviors
Assessing the Role of Machine Learning in Robotics
Policy regularization for legible behavior
Bayesian active learning for received signal strength-based visible light positioning
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control
Spatial representation for planning and executing robot behaviors in complex environments
Q Learning Regression Neural Network