summaryrefslogtreecommitdiff
path: root/rl/gym_demo
diff options
context:
space:
mode:
Diffstat (limited to 'rl/gym_demo')
-rw-r--r--rl/gym_demo/carl_pole.py47
1 files changed, 47 insertions, 0 deletions
diff --git a/rl/gym_demo/carl_pole.py b/rl/gym_demo/carl_pole.py
new file mode 100644
index 0000000..146c337
--- /dev/null
+++ b/rl/gym_demo/carl_pole.py
@@ -0,0 +1,47 @@
+
+import gym
+import numpy as np
+
+class BespokeAgent:
+ def __init__(self, env):
+ pass
+
+ def decide(self, observation):
+ position, velocity = observation
+ lb = min(-0.09*(position + 0.25) ** 2 + 0.03, 0.3*(position + 0.9)**4 - 0.008)
+ ub = -0.07*(position + 0.38) ** 2 + 0.07
+ if lb < velocity < ub:
+ action = 2
+ else:
+ action = 0
+ # print('observation: {}, lb: {}, ub: {} => action: {}'.format(observation, lb, ub, action))
+ return action
+
+ def learn(self, *argg):
+ pass
+
+
+def play(i, agent, env, render=True, train=False):
+ episode_reward = 0
+ observation = env.reset()
+ while True:
+ if render:
+ env.render()
+ action = agent.decide(observation)
+ next_observation, reward, done, _ = env.step(action)
+ episode_reward += reward
+ if train:
+ agent.learn(observation, action, reward, done)
+ if done:
+ env.close()
+ break
+ observation = next_observation
+ print(i, episode_reward)
+ return i, episode_reward
+
+
+if __name__ == '__main__':
+ env = gym.make('MountainCar-v0')
+ agent = BespokeAgent(env)
+ rewards = [play(i, agent, env) for i in range(100)]
+ print(rewards)