Metadata-Version: 2.1
Name: ultra-rl
Version: 0.1.1
Summary: Unprotected Left Turn for Robust Agents
Home-page: UNKNOWN
License: UNKNOWN
Description: # ULTRA
        
        ## Unprotected Left Turn for Robust Agents
        
        Ultra provides a gym-based environment using SMARTS for tackling intersection navigation and more specifically unprotected left turn.
        
        Here is the summary of key features:
         - Customizable scenarios with different levels of difficulty.
         - Analysis tools to evaluate traffic designs including low-mid-high densities.
         - Tools to support analyzing social-vehicle behaviors.
         - Configurable train and test parameters.
         - Benchmark results to train and test custom RL algorithms against.
        
        <p align="center">
          <img src="docs/_static/ultra_envision.gif" alt="ULTRA demo GIF">
        </p>
        
        ## Index
        
        Get started by choosing an option below.
        - [Flowchart of ULTRA's interface with SMARTS](docs/_static/ULTRA-flowchart-v1.jpg)
        - [Setting up ULTRA](docs/setup.md)
        - [Train and Evaluate a Baseline Agent](docs/getting_started.md)
        - [Create a Custom Agent](docs/custom_agent.md)
        - [More about ULTRA Agents](docs/agent.md)
        
        ### Citing ULTRA
        For a longer introduction to ULTRA, including its purpose, concepts, and benchmarks, please see [ULTRA: A reinforcement learning generatlization benchmark for autonomous driving](https://ml4ad.github.io/files/papers2020/ULTRA:%20A%20reinforcement%20learning%20generalization%20benchmark%20for%20autonomous%20driving.pdf).
        
        If you use ULTRA in your research, you can use to the following citation.
        ```
        @misc{elsayed20_ultra,
          author          = {Elsayed, Mohamed and Hassanzadeh, Kimia and Nguyen, Nhat M,
                          and Alban, Montgomery and Zhu, Xiru and Graves, Daniel and
                          Luo, Jun},
          journal         = {Machine Learning for Autonomous Driving Workshoo, Neural
                          Information Processing Systems},
          title           = {ULTRA: A reinforcement learning generalization benchmark
                          for autonomous driving},
          url             = {https://ml4ad.github.io/files/papers2020/ULTRA: A
                          reinforcement learning generalization benchmark for autonomous
                          driving.pdf},
          year            = 2020,
        }
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown
