mini-AlphaStar
DI-drive
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mini-AlphaStar | DI-drive | |
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1 | 2 | |
278 | 521 | |
- | -16.1% | |
0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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mini-AlphaStar
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Better AI opponent
With quick googling I found this, but it seemed like there were no pretrained models and without a tech background this will be pretty much impossible to run.
DI-drive
- Try simple interfaces and customized driving policy and casezoo set on DI-driveļ¼
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Is reinforcement learning being used for the development of self-driving cars?
Some attempts on driving simulators have achieved good results(eg. DI-drive, DI-drive is an open-source application platform under OpenDILab. DI-drive applies different simulator/datasets/cases in Decision Intelligence Training & Testing for Autonomous Driving Policy). The basic idea mainly includes initializing with imitation learning, and then using reinforcement learning to obtain results that surpass expert data after reaching a certain performance. Some use the perceptual Label to train the backbone of the network, then freeze the backbone, and use reinforcement learning to specifically train the affordance method from perceptual embedding to action output. Others use a multi-model fusion approach, in which the model trained by reinforcement learning is used together with other methods to obtain the driving output. However, the emulator-based method is mainly end-to-end, and its security is difficult to guarantee, and it is difficult to apply to real vehicle scenarios.
What are some alternatives?
multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.
imitation - Clean PyTorch implementations of imitation and reward learning algorithms
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
tianshou - An elegant PyTorch deep reinforcement learning library.
sharpy-sc2 - Python framework for rapid development of Starcraft 2 AI bots
neat - [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"