Reinforcement Learning Task

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A Reinforcement Learning Task is an online reward-maximization task that requires the use of a reinforcement learning algorithm (which involves an agent learning to make decisions through trial and error, aiming to maximize cumulative rewards over time by interacting with a dynamic environment).



References

2021

  • (Patel et al., 2021) ⇒ Sahil Patel, Ewoud Vos, and Henk Wymeersch. (2021). “Robust Deep Reinforcement Learning for Quadcopter Control.” In: arXiv preprint arXiv:2111.03915. [URL](https://ar5iv.org/abs/2111.03915)
    • NOTES: It introduces the use of Robust Markov Decision Processes (RMDP) and the Action Robust Deep Deterministic Policy Gradient (AR-DDPG) algorithm for robust drone control, demonstrating advanced RL techniques for handling uncertainties in quadcopter flight tasks.

2022