Alternatives and similar repositories for python-good-practices

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

• eleurent / phd-defense
  ☆43Updated 4 years ago
• madras-simulator / MADRaS
  Multi-Agent DRiving Simulator
  ☆91Updated 4 years ago
• bryonkucharski / Learning-to-Drive-with-Reinforcement-Learning-and-Variational-Autoencoders
  Project for my graduate neural networks course - combining RL with VAEs
  ☆23Updated 5 years ago
• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆82Updated 3 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• TheMTank / RL-code-resources
  A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
  ☆66Updated 3 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 4 years ago
• omardrwch / rlcpp
  Reinforcement Learning in C++
  ☆9Updated 5 years ago
• deepdrive / deepdrive-zero
  Top down 2D self-driving car simulator built for running experiments in minutes, not weeks
  ☆38Updated 10 months ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆69Updated 5 years ago
• CPS-TUWien / racing_dreamer
  Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
  ☆82Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 3 years ago
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• eleurent / phd-thesis
  My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
  ☆14Updated 3 years ago
• irom-princeton / PAC-Bayes-Control
  Code for the PAC-Bayes Control paper.
  ☆13Updated 2 years ago
• BerkeleyAutomation / Urban_Driving_Simulator
  FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
  ☆24Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 4 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆29Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• kylewray / nova
  CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.
  ☆18Updated 3 years ago
• osigaud / rl_labs_notebooks
  Labs for understanding and coding Standard Reinforcement Learning concepts
  ☆54Updated 6 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• aravindsrinivas / neural-mpc
  ☆73Updated 4 years ago
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆9Updated 6 years ago