[−][src]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 |