Crate rsrl

Reinforcement learning should be fast, safe and easy to use.

rsrl provides generic constructs for reinforcement learning (RL) experiments in an extensible framework with efficient implementations of existing methods for rapid prototyping.

Re-exports

pub extern crate rsrl_domains as domains;

pub extern crate spaces;

Modules

control	Control agents module.
fa	Function approximation and value function representation module.
params
policies	Agent policies module.
prediction	Prediction agents module.
traces	Eligibility trace types.

Macros

shared

Structs

Shared

Traits

Differentiable
Enumerable
Function
Handler
Message

Functions

make_shared

Type Definitions

OutputOf