by PacktPublishing · Agent Tool · ★ 397
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
| Stars | 397 |
| Forks | 157 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 41.7/100 |
| Open Issues | 4 |
| Last Updated | 2023-01-24 |
| Created | 2018-05-09 |
| Platforms | python |
| Est. Tokens | ~3375k |
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Hands-On-Intelligent-Agents-with-OpenAI-Gym is Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch. It is categorized as a Agent Tool with 397 GitHub stars.
Hands-On-Intelligent-Agents-with-OpenAI-Gym is primarily written in Python. It covers topics such as actor-critic, advantage-actor-critic, carla-driving-simulator.
You can find installation instructions and usage details in the Hands-On-Intelligent-Agents-with-OpenAI-Gym GitHub repository at github.com/PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym. The project has 397 stars and 157 forks, indicating an active community.
Hands-On-Intelligent-Agents-with-OpenAI-Gym is released under the MIT license, making it free to use and modify according to the license terms.