tsallis entropy

Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026 LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits AISTATS 2025 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes ICML 2024 Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024 Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms NeurIPS 2023 Sparse Continuous Distributions and Fenchel-Young Losses JMLR 2022 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Cycle Self-Training for Domain Adaptation NeurIPS 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Adjusting for Chance Clustering Comparison Measures JMLR 2016 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015