rust-rl-trader is a project designed to leverage reinforcement learning (RL) algorithms for trading purposes. Using Rust, this tool allows for the backtesting of trading strategies, providing a robust platform to experiment with RL techniques in a financial context. The project utilizes the tch-rs crate for tensor operations and neural network functionalities, ensuring efficient performance and flexibility.
To run an example, navigate to the project directory and execute:
cargo run --example cart-poleThis project is licensed under the MIT License.
Seungsoo Lee