Adds short example

examples/nLink_reacher.py

+import gym
+import nLinkReacher
+import time
+import numpy as np
+
+
+def main():
+    n = 3
+    #env = gym.make('nLink-reacher-acc-v0', n=n, dt=0.01)
+    env = gym.make('nLink-reacher-tor-v0', n=n, dt=0.01, k=2.1)
+    defaultAction = np.ones(n) * 8
+    n_episodes = 1
+    n_steps = 1000
+    cumReward = 0.0
+    for e in range(n_episodes):
+        ob = env.reset()
+        print("Starting episode")
+        for i in range(n_steps):
+            time.sleep(env._dt)
+            action = env.action_space.sample()
+            action = defaultAction
+            env.render()
+            ob, reward, done, info = env.step(action)
+            cumReward += reward
+
+
+if __name__ == '__main__':
+    main()