adversarial reward

Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs COLT 2026 The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation CVPR 2026 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms ICML 2025 Multi-agent Multi-armed Bandit Regret Complexity and Optimality AISTATS 2025 Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs ICLR 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback ICML 2024 Dynamic Regret of Adversarial Linear Mixture MDPs NeurIPS 2023 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022 Adaptive Discretization for Adversarial Lipschitz Bandits COLT 2021 Regularized Policies are Reward Robust AISTATS 2021 Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020 Provably Efficient Exploration in Policy Optimization ICML 2020 Large Scale Markov Decision Processes with Changing Rewards NeurIPS 2019 Best of both worlds: Stochastic & adversarial best-arm identification COLT 2018 The Best of Both Worlds: Stochastic and Adversarial Bandits COLT 2012