8 citations · 8 across the 3 of their papers we have counts for
3 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…
cs.LG2022★ 8 cited
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning
Alex Beeson, Giovanni Montana
The ability to discover optimal behaviour from fixed data sets has the potential to transfer the successes of reinforcement learning (RL) to domains where data collection is acutel…