conftrace_

constrained optimization

281 papers

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Also known as

CO

Co-occurring keywords

policy optimization (657) stochastic optimization (1060) convex optimization (1321) constraint satisfaction (294) regret bound (1926) bayesian optimization (624) safe reinforcement learning (120) fairness constraint (125) neural network (6616) nonconvex optimization (316)

Papers

Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Constrained Optimization JMLR 2024
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NIPS 2024
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NIPS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024
Fair Participation via Sequential Policies AAAI 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NIPS 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations NIPS 2024
Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NIPS 2024
Multi-agent assignment via state augmented reinforcement learning L4DC 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NIPS 2024