An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...

Abstract: This work investigates the space-limited aircraft assembly scheduling problem (SAASP) based on real-world cases. A computational model, minimizing the makespan, is developed to formulate the ...

Abstract: To solve the computationally heavy inversion of the soil thermal resistivity and the real time ampacity of power cable, a reinforcement learning-based two-modes (Mode 1 and Mode 2) ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

portfolio-optimization-rl/ ├── src/ │ ├── envs/ │ │ └── portfolio_env.py # Portfolio optimization environments │ ├── agents/ │ │ └── rl_agents.py # RL agent implementations │ └── config.py # ...

According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely ...