conftrace_

index policy

5 papers

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Co-occurring keywords

restless multi-armed bandit (28) regret bound (1926) markov decision process (790) restless bandit (14) asymptotic optimality (32) effort allocation (2) stochastic multi-armed bandit (5) reward-biased maximum likelihood estimation (2) finite-horizon mdp (6) index-aware reinforcement learning (1)

Papers

GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits AAAI 2026
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits ICML 2020
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016