Alternatives and similar repositories for cs294-Fall17-notes

Users that are interested in cs294-Fall17-notes are comparing it to the libraries listed below

• mcgillmrl / robot_learning
  ROS package for robot learning
  ☆17Updated 6 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 7 years ago
• ascentai / diy-gym
  A framework for creating your own reinforcement learning environments using pybullet
  ☆21Updated 6 years ago
• GOAL-Robots / REALCompetitionStartingKit
  ☆35Updated 6 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• aalitaiga / sim-to-real
  From simulation to real world using deep generative models
  ☆18Updated 7 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 4 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• taochenshh / hcp
  (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning
  ☆19Updated 6 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 3 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆40Updated 2 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…
  ☆30Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• danfeiX / model-based-papers
  My reading list for model-based control
  ☆161Updated 6 years ago
• TheMTank / RL-code-resources
  A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
  ☆64Updated 3 years ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• sharadmv / parasol
  ☆68Updated 4 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 7 years ago
• cap-ntu / baconian-project
  Model-based Reinforcement Learning Framework
  ☆115Updated 5 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• jianing-sun / Interpolated-Policy-Gradient-with-PPO-for-Robotics-Control-
  Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…
  ☆38Updated 6 years ago
• jacky-liang / data-learning-boilerplate
  ☆10Updated 4 years ago
• flowersteam / teachDeepRL
  ☆89Updated 4 years ago
• implementation-matters / code-for-paper
  ☆113Updated 6 years ago
• StanfordVL / robovat
  RoboVat: A unified toolkit for simulated and real-world robotic task environments.
  ☆67Updated 2 years ago