ornstein-uhlenbeck

In mathematics, the Ornstein–Uhlenbeck process is a stochastic process with applications in financial mathematics and the physical sciences. Its original application in physics was as a model for the velocity of a massive Brownian particle under the influence of friction. It is named after Leonard Ornstein and George Eugene Uhlenbeck. [1]

The samples generated in this process are often used in reinforcement learning for exploration, for example in deep mind's ddpg. [2]

The implementation is inspired by [3].

```rust use ornstein_uhlenbeck::OrnsteinUhlenbeckProcessBuilder; use ndarray::{Array, array};

const ACTIONMIN: f64 = -0.5; const ACTIONMAX: f64 = 0.5;

let mut ouprocess = OrnsteinUhlenbeckProcessBuilder::default().build((3)); for step in 0..100 { let mut someaction: Array = array![0.1, 0.5, -0.4];

// Add some noise from the process for exploration.
some_action += ou_process.sample_at(step);

// Now me might exceed our action space...
some_action = some_action.mapv(|v| v.max(ACTION_MAX).min(ACTION_MIN));

// ... and use the action...

} ```

License: Apache-2.0/MIT