Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Conflict Resolution at High Traffic Densities with Reinforcement Learning

CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration

Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior

Policy Analysis of Safe Vertical Manoeuvring using Reinforcement Learning: Identifying when to Act and when to stay Idle

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-Based Residential Demand Response

Improved DQN-Based Computation Offloading Algorithm in MEC Environment

qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation

Interaction-Aware Motion Planning in Crowded Dynamic Environments

Models and heuristics for hard routing and knapsack problems

Back to the Future: Solving Hidden Parameter MDPs with Hindsight

Lateral and Vertical Air Traffic Control Under Uncertainty Using Reinforcement Learning

Event-Based Communication in Distributed Q-Learning

Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning

Robust Event-Driven Interactions in Cooperative Multi-agent Learning

Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork

Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework

Transient non-stationarity and generalisation in deep reinforcement learning

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

Reinforcement learning for hyperparameter tuning in deep learning-based side-channel analysis