conftrace_

stochastic environment

39 papers

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Co-occurring keywords · papers mentioning both

regret bound (8) online learning (8) reinforcement learning (6) multi-armed bandit (4) markov decision process (4) adversarial environment (3) value function (3) offline reinforcement learning (3) double q-learning (2) decision transformer (2)

Papers

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NeurIPS 2021 Variational Intrinsic Control Revisited ICLR 2021 Lookahead-Bounded Q-learning ICML 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously ICML 2019 Dynamic Pricing with Finitely Many Unknown Valuations ALT 2019 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018 Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018 Equi-Reward Utility Maximizing Design in Stochastic Environments IJCAI 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Weighted Double Q-learning IJCAI 2017 Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011 Double Q-learning NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010