markov decision processes

Adversarial Inception Backdoor Attacks against Reinforcement Learning ICML 2025 A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach ICML 2025 Counterfactual Influence in Markov Decision Processes CLeaR 2025 Logarithmic regret of exploration in average reward Markov decision processes COLT 2025 Near-Optimal Sample Complexity for MDPs via Anchoring ICML 2025 Quantum Algorithms for Finite-horizon Markov Decision Processes ICML 2025 Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024 On The Statistical Complexity of Offline Decision-Making ICML 2024 Test-Time Regret Minimization in Meta Reinforcement Learning ICML 2024 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010