3 papers
cs.LG2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
Llewyn Salt, Marcus Gallagher
Hyperparameter optimisation (HPO) is crucial for achieving strong performance in reinforcement learning (RL), as RL algorithms are inherently sensitive to hyperparameter settings.…
cs.SE2025
AlgOS: Algorithm Operating System
Llewyn Salt, Marcus Gallagher
Algorithm Operating System (AlgOS) is an unopinionated, extensible, modular framework for algorithmic implementations. AlgOS offers numerous features: integration with Optuna for a…
cs.LG2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
Llewyn Salt, Marcus Gallagher
Reinforcement learning (RL) -- algorithms that teach artificial agents to interact with environments by maximising reward signals -- has achieved significant success in recent year…