lagrangian method

Proactive Constrained Policy Optimization with Preemptive Penalty AAAI 2026 No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 Generalized constraint for probabilistic safe reinforcement learning L4DC 2024 Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024 SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023 Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023 Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023 Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NeurIPS 2022 Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 On the Verification of Neural ODEs with Stochastic Guarantees AAAI 2021 Lagrangian Fluid Simulation with Continuous Convolutions ICLR 2020 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods ICML 2020