Autonomous conflict resolution for high-density urban operations using deep reinforcement learning

On the road from Model-Based Dynamical Programming to Model-Free Reinforcement Learning: A sample efficient approach

Joining techniques for internal bonding of components into carbon fibre-reinforced polymer structures with limited access

Steel Fiber Reinforced Concrete for Tunnel Linings

Combining Multi-Objective Planning with Reinforcement Learning to Solve Complex Tasks in Environments with Sparse Rewards

Robotic Packaging Optimization with Reinforcement Learning and Real-World Data

Underwater concrete floors: improving design efficiency: A parametric approach to studying the impact of design parameters and the benefits of fibre reinforcement

Teaching bimanual dexterous manipulations with interactive demonstrations and reinforcement learning

Feasibility study - CIE5050-09 Additional Research Project: Upscaling architected metamaterials for applications in civil infrastructure: auxetic lattices for confining concrete

Conflict Resolution at High Traffic Densities with Reinforcement Learning

Controlling the estimation bias in deep reinforcement learning problems with sparse rewards: Towards robust robotic object manipulation learning

Modelling Agents with Variational Autoencoders in Multi-Agent Sequential Decision Making

Role of timber structural elements in the seismic response of masonry structures in the Himalayan region

Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control

Spiking Neural-Networks-Based Data-Driven Control

Exploring the potential of the critical shear crack theory for reinforced and post-tensioned glass beams: Initial analysis and experiments

In-Service Delaminations in FRP Structures under Operational Loading Conditions: Are Current Fracture Testing and Analysis on Coupons Sufficient for Capturing the Essential Effects for Reliable Predictions?

Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback

A Comparative Study of Optimization Models for Condition-Based Maintenance Scheduling of an Aircraft Fleet