constrained markov decision process

Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants IJCAI 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023 Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs NeurIPS 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NeurIPS 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 Constrained Policy Optimization via Bayesian World Models ICLR 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning NeurIPS 2022 Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NeurIPS 2022 Regret guarantees for model-based reinforcement learning with long-term average constraints UAI 2022 Reinforcement Learning with Almost Sure Constraints L4DC 2022 Semi-infinitely Constrained Markov Decision Processes NeurIPS 2022 Towards painless policy optimization for constrained MDPs UAI 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021 Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs NeurIPS 2021