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Running OpenAI with in Clojure and libpython-clj
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(ns pyclojure.core | |
(:gen-class) | |
(:require [libpython-clj.require :refer [require-python]] | |
[libpython-clj.python :as py])) | |
; import gym | |
; env = gym.make('CartPole-v0') | |
; for i_episode in range(20): | |
; observation = env.reset() | |
; for t in range(100): | |
; env.render() | |
; print(observation) | |
; action = env.action_space.sample() | |
; observation, reward, done, info = env.step(action) | |
; if done: | |
; print("Episode finished after {} timesteps".format(t+1)) | |
; break | |
; env.close() | |
(require-python 'gym) | |
(defn run-cartpole [] | |
(let [env (gym/make "CartPole-v0")] | |
(try | |
(dotimes [_ 20] | |
(do | |
(py/$a env reset) | |
(loop [t 0] | |
(py/$a env render) | |
(let [action (-> env | |
(py/$. action_space) | |
(py/$a sample)) | |
result (py/$a env step action) | |
[observation reward done info] (seq result)] | |
(do | |
(println observation) | |
(if done | |
(println (str "Episode finished after " (inc t) " timesteps")) | |
(if (< t 100) | |
(recur (inc t))))))))) | |
(finally | |
(py/$a env close))))) | |
(defn -main [] | |
(run-cartpole)) |
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