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How To Use MACHINE LEARNING In Unity MLAgents Setup & Basic Environment - Pellet Grabber Tutorial #1
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Hi all! In this series we will be exploring the Unity MLAgents library. We are using reinforcement learning to develop a neural network for our AI to use to solve problem environments that we create for it.
In this video we walk through the setup of MLAgents and craft a basic Unity environment for the Agent to learn in.
Channels I recommend checking out for more MLAgents content:
- Time Stamps -
0:00 - Intro
0:11 - Unity Setup
2:32 - Python
6:25 - Create Virtual Environment
9:43 - Install Dependencies
14:00 - Unity Environment
24:09 - OnActionReceived
27:38 - CollectObservations
30:44 - Create Target
32:49 - OnTriggerEnter
36:13 - OnEpisodeBegin
40:37 - Changes to Agent
41:38 - Heuristic
44:12 - Bug Fix
51:21 - Real Time Training Session
53:12 - Sped Up Training
53:20 - Improve Training Time
54:32 - Sped Up Training
54:41 - Fixing Reward Issue
55:59 - Proper Training Run
57:18 - Using Neural Network
In this video we walk through the setup of MLAgents and craft a basic Unity environment for the Agent to learn in.
Channels I recommend checking out for more MLAgents content:
- Time Stamps -
0:00 - Intro
0:11 - Unity Setup
2:32 - Python
6:25 - Create Virtual Environment
9:43 - Install Dependencies
14:00 - Unity Environment
24:09 - OnActionReceived
27:38 - CollectObservations
30:44 - Create Target
32:49 - OnTriggerEnter
36:13 - OnEpisodeBegin
40:37 - Changes to Agent
41:38 - Heuristic
44:12 - Bug Fix
51:21 - Real Time Training Session
53:12 - Sped Up Training
53:20 - Improve Training Time
54:32 - Sped Up Training
54:41 - Fixing Reward Issue
55:59 - Proper Training Run
57:18 - Using Neural Network
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