[RLC'26] Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
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Updated
Sep 20, 2026 - Python
[RLC'26] Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
LiRA: Learning responsibility for shared constraints in multi-agent RL (code for the main table)
Reference implementation of a research-signal quality gate: evaluation, annotation calibration, and a constrained-RL data-allocation environment.
Official RC-CATD implementation for constrained multitask resource allocation
A constrained-control benchmark for anaerobic digestion on a plant-anchored 38-state ADM1: 2486 tuned conventional configurations and 24 RL algorithm-formulation configurations scored against a Pareto envelope at matched violation rate.
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