conftrace_
← Keywords

primal-dual optimization

49 papers

Explore in graph

Co-occurring keywords

primal-dual method (58) convex optimization (1320) distributed optimization (275) primal-dual algorithm (72) constrained markov decision process (55) constrained optimization (278) function approximation (319) policy optimization (630) sample complexity (1158) markov decision process (788)

Papers

Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control IJCAI 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024
Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning JMLR 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NIPS 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NIPS 2023
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods COLT 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation NIPS 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022
On Kernelized Multi-Armed Bandits with Constraints NIPS 2022
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021