Bellman residuals minimization using online support vector machines
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New Pairwise Bellman Validation Method for Off-Policy Evaluation
Researchers have introduced a novel method called pairwise Bellman validation (PBV) for model selection and hyperparameter tuning in off-policy evaluation. This approach addresses the challenge of evaluating fitted Q-fu…
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V-SHARE algorithm offers provable convergence for reinforcement learning
Researchers have introduced V-SHARE, a novel advantage-based value-learning algorithm for reinforcement learning that enhances information sharing across actions. This method decomposes the action-value function into st…
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New RL principle adjusts abstraction granularity using rate-distortion
Researchers have developed a new principle for reinforcement learning that allows agents to dynamically adjust the granularity of their task abstractions during learning. This method refines abstractions when the learni…