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cs.LG2024
Offline Model-Based Reinforcement Learning with Anti-Exploration
Padmanaba Srinivasan, William Knottenbelt
Model-based reinforcement learning (MBRL) algorithms learn a dynamics model from collected data and apply it to generate synthetic trajectories to enable faster learning. This is a…
cs.LG2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan, William Knottenbelt
Offline reinforcement learning (RL) algorithms are applied to learn performant, well-generalizing policies when provided with a static dataset of interactions. Many recent approach…