NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
Implementations of SAILR, PDO, and CSC
[AAAI 2022] The official implementation of CPQ in "Constraints Penalized Q-learning for Safe Offline Reinforcement Learning"
Constrained Hierarchical Deep Reinforcement Learning with Differentiable Formal Specifications
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