Alternatives and similar repositories for python-good-practices

Users that are interested in python-good-practices are comparing it to the libraries listed below

• deepdrive / deepdrive-zero
  Top down 2D self-driving car simulator built for running experiments in minutes, not weeks
  ☆38Updated last year
• madras-simulator / MADRaS
  Multi-Agent DRiving Simulator
  ☆92Updated 4 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆18Updated 6 years ago
• osigaud / rl_labs_notebooks
  Labs for understanding and coding Standard Reinforcement Learning concepts
  ☆55Updated 6 years ago
• sisl / AutomotivePOMDPs.jl
  ☆23Updated 5 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 4 years ago
• dynamik1703 / gym_longicontrol
  A new Reinforcement Learning Environment
  ☆35Updated 4 years ago
• kylewray / nova
  CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.
  ☆18Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆74Updated 5 years ago
• fidler-lab / social-driving
  Design multi-agent environments and simple reward functions such that social driving behavior emerges
  ☆135Updated 4 years ago
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆102Updated last year
• mohakbhardwaj / planning_python
  ☆11Updated 6 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆58Updated 4 years ago
• eleurent / phd-thesis
  My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
  ☆15Updated 3 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• r7vme / learning-to-drive-in-a-day
  Implementation of reinforcement learning approach to make a car learn to drive
  ☆110Updated 2 years ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆41Updated 2 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆52Updated 4 months ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• abhisheknaik96 / MultiAgentTORCS
  The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…
  ☆145Updated 6 years ago
• BerkeleyAutomation / Urban_Driving_Simulator
  FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
  ☆24Updated 6 years ago
• MarcToussaint / AI-lectures
  Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
  ☆130Updated 7 months ago
• Stanford-ILIAD / CARLO
  2D Driving Simulator
  ☆105Updated last year
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 3 years ago
• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆87Updated 3 years ago
• peteflorence / Machine-Learning-6.867-homework
  ☆57Updated 7 years ago