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Verstärkung
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The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Safe Trajectory Sampling in Model-Based Reinforcement Learning
RTFM: Generalising to New Environment Dynamics via Reading
Policy Learning with Embedded Koopman Optimal Control
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Learning Deep Neural Policies with Stability Guarantees
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
CT-DQN: Control-Tutored Deep Reinforcement Learning
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Cognitive radar mode control: a comparison of different reinforcement learning algorithms
A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills