[RLlib] Deepmind Control Suite Examples (#9751)

rllib/env/dm_control_wrapper.py

@@ -71,7 +71,7 @@ class DMCEnv(core.Env):
                  domain_name,
                  task_name,
                  task_kwargs=None,
-                 visualize_reward={},
+                 visualize_reward=False,
                  from_pixels=False,
                  height=84,
                  width=84,

rllib/examples/env/dm_control_suite.py

@@ -0,0 +1,85 @@
+from ray.rllib.env.dm_control_wrapper import DMCEnv
+import numpy as np
+"""
+8 Environments from Deepmind Control Suite
+"""
+
+
+def acrobot_swingup():
+    return DMCEnv(
+        "acrobot",
+        "swingup",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def hopper_hop():
+    return DMCEnv(
+        "hopper",
+        "hop",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def hopper_stand():
+    return DMCEnv(
+        "hopper",
+        "stand",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def cheetah_run():
+    return DMCEnv(
+        "cheetah",
+        "run",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def walker_run():
+    return DMCEnv(
+        "walker",
+        "run",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def pendulum_swingup():
+    return DMCEnv(
+        "pendulum",
+        "swingup",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def cartpole_swingup():
+    return DMCEnv(
+        "cartpole",
+        "swingup",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})
+
+
+def humanoid_walk():
+    return DMCEnv(
+        "humanoid",
+        "walk",
+        from_pixels=True,
+        height=64,
+        width=64,
+        task_kwargs={"random": np.random.randint(low=0, high=1e9)})