reinforce-0.0.0.1: Reinforcement learning in Haskell

See README.md. reinforce is a library which exports an OpenAI-gym-like typeclass, MonadEnv, with both an interface to the gym-http-api, as well as haskell-native environments which provide a substantial speed-up to the http-server interface. This is an environment-first library, with basic reinforcment learning algorithms being developed on branches in subpackages (see Development and Milestones). reinforce is currently an "alpha" release since it still needs some work defining some formal structures around what state-spaces and action-spaces should look like, however haskell's typesystem is expressive enough that this seems to be more of a "nice-to-have." It's in active development and has some beginner-friendly contributions - from porting new gym environments to implementing new algorithms.