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RTFM: Generalising to New Environment Dynamics via Reading
CT-DQN: Control-Tutored Deep Reinforcement Learning
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Testing the TASP: An experimental investigation of learning in games with unstable equilibria
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
A Generalized Training Approach for Multiagent Learning
Cognitive radar mode control: a comparison of different reinforcement learning algorithms
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning
A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture
Safe Trajectory Sampling in Model-Based Reinforcement Learning
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Simultaneous control and recognition of demonstrated behavior
Simultaneous control and recognition of demonstrated behavior
Machine Learning for Soft Robot Sensing and Control: A Tutorial Study