FoRL: Forecasting-Conditioned Reinforcement Learning — model-free policies that emit multi-step forecasts of their own upcoming actions, making anticipatability intrinsic rather than post-hoc. Code for the IJCAI 2026 XAI Workshop paper.
reinforcement-learning sumo gymnasium interpretability ppo explainable-ai xai action-prediction glosa model-free-rl traffic-signal-control stable-baselines3
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Jul 31, 2026 - Python