2 papers
stat.ML2024
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces
Alex Beeson, David Ireland, Giovanni Montana
Expanding reinforcement learning (RL) to offline domains generates promising prospects, particularly in sectors where data collection poses substantial challenges or risks. Pivotal…
cs.LG2023
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning
Alex Beeson, Giovanni Montana
Offline reinforcement learning agents seek optimal policies from fixed data sets. With environmental interaction prohibited, agents face significant challenges in preventing errors…