pytorchrl
latest
Getting started:
Motivation
Installation
PyTorchRL API:
Agent Components
Training Components
Tutorials:
Breaking down PyTorchRL
Create a custom environment
Code examples:
Simplified Code Examples
Unity 3D Obstacle Tower Environment
pytorchrl
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PyTorchRL Documentation
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PyTorchRL Documentation
Getting started:
Motivation
Installation
Installing Anaconda or Miniconda
Installing PyTorchRL library
PyTorchRL API:
Agent Components
Actors
Algorithms
Available Environments
Environment Vectors
Storage
Training Components
Scheme
Learner
Tutorials:
Breaking down PyTorchRL
1. Starting a training script
2. Defining a vectorized environment
3. Defining a RL agent
4. Customizing training scheme
5. Executing training loop
6. Checking results
Create a custom environment
Code examples:
Simplified Code Examples
Train Agents
Advanced Training Config Changes
Config
Available Algorithms
Unity 3D Obstacle Tower Environment
The Environment
The Agent
The Scheme
Training
Results
Read the Docs
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