Christopher Mutschler

Constrained Reinforcement Learning using Bender’s Decomposition and Exact Constraint Satisfaction

SafeMPO: Constrained Reinforcement Learning with Probabilistic Incremental Improvement

Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels

Benchmarking Quantum Reinforcement Learning

Provably safe Reinforcement Learning using Bender's Decomposition Oracles