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

Towards painless policy optimization for constrained MDPs UAI 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
Reinforcement Learning with Almost Sure Constraints L4DC 2022
Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NIPS 2022
Semi-infinitely Constrained Markov Decision Processes NIPS 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints UAI 2022
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning NIPS 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NIPS 2022
Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes IJCAI 2021
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs NIPS 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021
Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021
Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020
Constrained Upper Confidence Reinforcement Learning L4DC 2020
Safe Policy Learning for Continuous Control CORL 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NIPS 2020