mit-acl/gym-collision-avoidance

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gym-collision-avoidance Updates: 2023-04-28: Updated to be compatible with Python 3.10 and tensorflow 2. Corresponding v0.0.3 available on pypi as well, if you do not intend to modify the source code (python -m pip install gym-collision-avoidance) This is the code associated with the following publications: Journal Version: M. Everett, Y. Chen, and J. P. How, "Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning", IEEE Access Vol. 9, 2021, pp. 10357-10377. 10.1109/ACCESS.2021.3050338,...