The Fast Safe Reinforcement Learning (FSRL) package provides modularized implementations of Safe RL algorithms based on PyTorch and the Tianshou framework. Safe RL is a rapidly evolving subfield of RL, focusing on ensuring the safety of learning agents during the training and deployment process.

The FSRL (Fast Safe Reinforcement Learning) package contains modularized implementations of safe RL algorithms based on PyTorch and the Tianshou framework [Weng et al., 2022]. The implemented safe RL algorithms include:

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If no error occurs, you have successfully installed FSRL. Overview¶ Tianshou is an excellent RL framework with a clean API design, fast training speed, and good performance. Therefore, the majority of the API design in FSRL follows Tianshou, and we aim to …

FSRL (Financial Strategy Reinforcement Learning) is the first open-source framework capable of dynamic switching among multiple strategies.🔥. FSRL employs reinforcement learning techniques to allow the possibility of dynamically switching strategies in the financial market.

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