conftrace_

constrained markov decision process

56 papers

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Also known as

CMDP CONSTRAINED MDP

Co-occurring keywords

policy optimization (657) safe reinforcement learning (120) reinforcement learning (4352) sample complexity (1169) constrained mdp (15) regret bound (1926) safety constraint (69) constraint violation (39) policy gradient (520) primal-dual method (58)

Papers

Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model ALT 2026
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025
Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves AAAI 2025
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm NIPS 2024
Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024
Anytime-Constrained Reinforcement Learning AISTATS 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints RSS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Adversarial Behavior Exclusion for Safe Reinforcement Learning IJCAI 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 Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 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
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants IJCAI 2023
Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs NIPS 2023