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Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
Model-based Actor-Critic with Chance Constraint for Stochastic System
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
Enable Faster and Smoother Spatio-Temporal Trajectory Planning for Autonomous Vehicles in Constrained Dynamic Environment
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