Usage examples (#350)

* Single actor critic shared params * Shared layers for multi ACs * Fix lint errors (1) * Fixed tests * Changes to dicstrings and classes * Renaming Multi -> Two and comments * Adding tutorial * Small change * Index * Fix code render * Fix docs * A small addition
SforAiDl · Sep 15, 2020 · 147d373 · 147d373
1 parent 1fa6302
commit 147d373
Show file tree

Hide file tree

Showing 6 changed files with 11 additions and 11 deletions.
diff --git a/docs/source/usage/tutorials/Deep/A2C.rst b/docs/source/usage/tutorials/Deep/A2C.rst
@@ -106,8 +106,8 @@ Training through the API
 
     import gym
 
-    from genrl import A2C
-    from genrl.deep.common import OnPolicyTrainer
+    from genrl.agents import A2C
+    from genrl.trainers import OnPolicyTrainer
     from genrl.environments import VectorEnv
 
     env = VectorEnv("CartPole-v0")

diff --git a/docs/source/usage/tutorials/Deep/PPO.rst b/docs/source/usage/tutorials/Deep/PPO.rst
@@ -98,8 +98,8 @@ Training through the API
 
     import gym
 
-    from genrl import PPO1
-    from genrl.deep.common import OnPolicyTrainer
+    from genrl.agents import PPO1
+    from genrl.trainers import OnPolicyTrainer
     from genrl.environments import VectorEnv
 
     env = VectorEnv("CartPole-v0")

diff --git a/docs/source/usage/tutorials/Deep/VPG.rst b/docs/source/usage/tutorials/Deep/VPG.rst
@@ -84,8 +84,8 @@ Training through the API
 
     import gym
 
-    from genrl import VPG
-    from genrl.deep.common import OnPolicyTrainer
+    from genrl.agents import VPG
+    from genrl.trainers import OnPolicyTrainer
     from genrl.environments import VectorEnv
 
     env = VectorEnv("CartPole-v0")

diff --git a/docs/source/usage/tutorials/Using A2C.md b/docs/source/usage/tutorials/Using A2C.md
@@ -5,8 +5,8 @@
 ```python
 import gym
 
-from genrl import A2C
-from genrl.deep.common import OnPolicyTrainer
+from genrl.agents import A2C
+from genrl.trainers import OnPolicyTrainer
 from genrl.environments import VectorEnv
 
 env = VectorEnv("CartPole-v0")

diff --git a/docs/source/usage/tutorials/Using Custom Policies.md b/docs/source/usage/tutorials/Using Custom Policies.md
@@ -11,7 +11,7 @@ Import the required libraries (eg. torch, torch.nn) and from GenRL, the algorith
 import torch
 import torch.nn as nn
 
-from genrl import VPG
+from genrl.agents import VPG
 from genrl.core.policies import MlpPolicy
 from genrl.environments import VectorEnv
 from genrl.trainers import OnPolicyTrainer

diff --git a/docs/source/usage/tutorials/using_vpg.md b/docs/source/usage/tutorials/using_vpg.md
@@ -22,8 +22,8 @@ This is a very minimal way to run a VPG agent on **GenRL**
 ```python
 import gym  # OpenAI Gym
 
-from genrl import VPG
-from genrl.deep.common import OnPolicyTrainer
+from genrl.agents import VPG
+from genrl.trainers import OnPolicyTrainer
 from genrl.environments import VectorEnv
 
 env = VectorEnv("CartPole-v1")