Update documentation links

Author: maryamziaa

colab/Colab_UnityEnvironment_1_Run.ipynb

@@ -32,7 +32,7 @@
    },
    "source": [
     "# ML-Agents Open a UnityEnvironment\n",
-    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/images/image-banner.png?raw=true\" align=\"middle\" width=\"435\"/>"
+    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/images/image-banner.png?raw=true\" align=\"middle\" width=\"435\"/>"
    ]
   },
   {

colab/Colab_UnityEnvironment_2_Train.ipynb

@@ -22,7 +22,7 @@
    },
    "source": [
     "# ML-Agents Q-Learning with GridWorld\n",
-    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/images/gridworld.png?raw=true\" align=\"middle\" width=\"435\"/>"
+    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/images/gridworld.png?raw=true\" align=\"middle\" width=\"435\"/>"
    ]
   },
   {
@@ -190,7 +190,7 @@
     "id": "pZhVRfdoyPmv"
    },
    "source": [
-    "The [GridWorld](https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Examples.md#gridworld) Environment is a simple Unity visual environment. The Agent is a blue square in a 3x3 grid that is trying to reach a green __`+`__ while avoiding a red __`x`__.\n",
+    "The [GridWorld](https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Examples.md#gridworld) Environment is a simple Unity visual environment. The Agent is a blue square in a 3x3 grid that is trying to reach a green __`+`__ while avoiding a red __`x`__.\n",
     "\n",
     "The observation is an image obtained by a camera on top of the grid.\n",
     "\n",

colab/Colab_UnityEnvironment_3_SideChannel.ipynb

@@ -23,7 +23,7 @@
    },
    "source": [
     "# ML-Agents Use SideChannels\n",
-    "<img src=\"https://raw.githubusercontent.com/Unity-Technologies/ml-agents/release_23_docs/docs/images/3dball_big.png\" align=\"middle\" width=\"435\"/>"
+    "<img src=\"https://raw.githubusercontent.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/images/3dball_big.png\" align=\"middle\" width=\"435\"/>"
    ]
   },
   {
@@ -176,7 +176,7 @@
     "## Side Channel\n",
     "\n",
     "SideChannels are objects that can be passed to the constructor of a UnityEnvironment or the `make()` method of a registry entry to send non Reinforcement Learning related data.\n",
-    "More information available [here](https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Python-API.md#communicating-additional-information-with-the-environment)\n",
+    "More information available [here](https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Python-LLAPI.md#communicating-additional-information-with-the-environment)\n",
     "\n",
     "\n",
     "\n"
@@ -189,7 +189,7 @@
    },
    "source": [
     "### Engine Configuration SideChannel\n",
-    "The [Engine Configuration Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Python-API.md#engineconfigurationchannel) is used to configure how the Unity Engine should run.\n",
+    "The [Engine Configuration Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Python-LLAPI.md#engineconfigurationchannel) is used to configure how the Unity Engine should run.\n",
     "We will use the GridWorld environment to demonstrate how to use the EngineConfigurationChannel."
    ]
   },
@@ -282,7 +282,7 @@
    },
    "source": [
     "### Environment Parameters Channel\n",
-    "The [Environment Parameters Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Python-API.md#environmentparameters) is used to modify environment parameters during the simulation.\n",
+    "The [Environment Parameters Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Python-LLAPI.md#environmentparameters) is used to modify environment parameters during the simulation.\n",
     "We will use the GridWorld environment to demonstrate how to use the EngineConfigurationChannel."
    ]
   },
@@ -419,7 +419,7 @@
    },
    "source": [
     "### Creating your own Side Channels\n",
-    "You can send various kinds of data between a Unity Environment and Python but you will need to [create your own implementation of a Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Custom-SideChannels.md#custom-side-channels) for advanced use cases.\n"
+    "You can send various kinds of data between a Unity Environment and Python but you will need to [create your own implementation of a Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Custom-SideChannels.md#custom-side-channels) for advanced use cases.\n"
    ]
   },
   {

colab/Colab_UnityEnvironment_4_SB3VectorEnv.ipynb

@@ -7,7 +7,7 @@
    },
    "source": [
     "# ML-Agents run with Stable Baselines 3\n",
-    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/images/image-banner.png?raw=true\" align=\"middle\" width=\"435\"/>"
+    "<img src=\"https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/images/image-banner.png?raw=true\" align=\"middle\" width=\"435\"/>"
    ]
   },
   {

com.unity.ml-agents/Runtime/Academy.cs

@@ -19,8 +19,8 @@
  * manages the communication between the learning environment and the Python
  * API. For more information on each of these entities, in addition to how to
  * set-up a learning environment and train the behavior of characters in a
- * Unity scene, please browse our documentation pages on GitHub:
- * https://github.com/Unity-Technologies/ml-agents/tree/release_23_docs/docs/
+ * Unity scene, please browse our documentation pages:
+ * https://docs.unity3d.com/Packages/com.unity.ml-agents@latest
  */
 
 namespace Unity.MLAgents
@@ -61,8 +61,8 @@ void FixedUpdate()
     /// fall back to inference or heuristic decisions. (You can also set agents to always use
     /// inference or heuristics.)
     /// </remarks>
-    [HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_23_docs/" +
-        "docs/Learning-Environment-Design.md")]
+    [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/" +
+        "Documentation~/Learning-Environment-Design.md")]
     public class Academy : IDisposable
     {
         /// <summary>

com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs

@@ -184,7 +184,7 @@ public interface IActionReceiver
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~//Learning-Environment-Design-Agents.md
         /// </remarks>
         /// <seealso cref="IActionReceiver.OnActionReceived"/>
         void WriteDiscreteActionMask(IDiscreteActionMask actionMask);

com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs

@@ -16,7 +16,7 @@ public interface IDiscreteActionMask
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#masking-discrete-actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#masking-discrete-actions
         /// </remarks>
         /// <param name="branch">The branch for which the actions will be masked.</param>
         /// <param name="actionIndex">Index of the action.</param>

com.unity.ml-agents/Runtime/Agent.cs

@@ -192,14 +192,14 @@ public override BuiltInActuatorType GetBuiltInActuatorType()
     /// [OnDisable()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnDisable.html]
     /// [OnBeforeSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnBeforeSerialize.html
     /// [OnAfterSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnAfterSerialize.html
-    /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md
-    /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design.md
+    /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md
+    /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design.md
     /// [Unity ML-Agents Toolkit]: https://github.com/Unity-Technologies/ml-agents
-    /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Readme.md
+    /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/index.md
     ///
     /// </remarks>
-    [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/" +
-        "docs/Learning-Environment-Design-Agents.md")]
+    [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/" +
+        "Documentation~/Learning-Environment-Design-Agents.md")]
     [Serializable]
     [RequireComponent(typeof(BehaviorParameters))]
     [DefaultExecutionOrder(-50)]
@@ -728,8 +728,8 @@ public int CompletedEpisodes
         /// for information about mixing reward signals from curiosity and Generative Adversarial
         /// Imitation Learning (GAIL) with rewards supplied through this method.
         ///
-        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#rewards
-        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob//Learning-Environment-Design-Agents.md#rewards
+        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/ML-Agents-Overview.md#a-quick-note-on-reward-signals
         /// </remarks>
         /// <param name="reward">The new value of the reward.</param>
         public void SetReward(float reward)
@@ -756,8 +756,8 @@ public void SetReward(float reward)
         /// for information about mixing reward signals from curiosity and Generative Adversarial
         /// Imitation Learning (GAIL) with rewards supplied through this method.
         ///
-        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#rewards
-        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#rewards
+        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/ML-Agents-Overview.md#a-quick-note-on-reward-signals
         ///</remarks>
         /// <param name="increment">Incremental reward value.</param>
         public void AddReward(float increment)
@@ -945,8 +945,8 @@ public virtual void Initialize() { }
         /// implementing a simple heuristic function can aid in debugging agent actions and interactions
         /// with its environment.
         ///
-        /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
-        /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#recording-demonstrations
+        /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#actions
         /// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
         /// </remarks>
         /// <example>
@@ -1203,7 +1203,7 @@ void ResetSensors()
         /// For more information about observations, see [Observations and Sensors].
         ///
         /// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
-        /// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
+        /// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#observations-and-sensors
         /// </remarks>
         public virtual void CollectObservations(VectorSensor sensor)
         {
@@ -1245,7 +1245,7 @@ public ReadOnlyCollection<float> GetStackedObservations()
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <seealso cref="IActionReceiver.OnActionReceived"/>
         public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask) { }
@@ -1312,7 +1312,7 @@ public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask) { }
         ///
         /// For more information about implementing agent actions see [Agents - Actions].
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#actions
         /// </para>
         /// </remarks>
         /// <param name="actions">

com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs

@@ -19,7 +19,7 @@ namespace Unity.MLAgents.Demonstrations
     /// See [Imitation Learning - Recording Demonstrations] for more information.
     ///
     /// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
-    /// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_23_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
+    /// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/develop/com.unity.ml-agents/Documentation~/Learning-Environment-Design-Agents.md#recording-demonstrations
     /// </remarks>
     [RequireComponent(typeof(Agent))]
     [AddComponentMenu("ML Agents/Demonstration Recorder", (int)MenuGroup.Default)]