3 papers
cs.LG2026
Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
Cristiano da Costa Cunha, Ajmal Mian, Tim French +1
Causal reinforcement learning (RL) lacks benchmarks for complex systems that combine sequential decision making, hidden information, large masked action spaces, and explicit causal…
cs.LG2026
NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
Max Collins, Jordan Vice, Tim French +1
Adversarial samples exploit irregularities in the manifold `learned' by deep learning models to cause misclassifications. The study of these adversarial samples provides insight in…
cs.AI2025
Unifying Causal Reinforcement Learning: Survey, Taxonomy, Algorithms and Applications
Cristiano da Costa Cunha, Wei Liu, Tim French +1
Integrating causal inference (CI) with reinforcement learning (RL) has emerged as a powerful paradigm to address critical limitations in classical RL, including low explainability,…