Alternatives and similar repositories for angela:

Users that are interested in angela are comparing it to the libraries listed below

• zuoxingdong / DeepPILCO
  ☆53Updated 7 years ago
• simon-larsson / ballbeam-gym
  Ball & beam OpenAI gym environments
  ☆15Updated 4 years ago
• eric-heiden / deep-rl-docker
  Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.
  ☆46Updated 5 years ago
• osigaud / rl_labs_notebooks
  Labs for understanding and coding Standard Reinforcement Learning concepts
  ☆54Updated 6 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆44Updated 5 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 4 years ago
• dillonalaird / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆28Updated 8 years ago
• AadityaRavindran / gym-cartpolemod
  Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
  ☆9Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• NeurEXT / NEXT-learning-to-plan
  ☆21Updated 5 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆56Updated 3 years ago
• idsia-robotics / proximity-quadrotor-learning
  ☆12Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆70Updated 4 years ago
• kevin-hanselman / grid-world-rl
  Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
  ☆28Updated last year
• resibots / chatzilygeroudis_2018_rte
  Code for the Reset-free Trial and Error learning paper (RTE) experiments
  ☆10Updated 7 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…
  ☆28Updated 5 years ago
• aalitaiga / sim-to-real
  From simulation to real world using deep generative models
  ☆17Updated 6 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆14Updated 5 years ago
• aidanscannell / pilco-tensorflow
  PILCO - Probabilistic Inference for Learning COntrol
  ☆13Updated 6 years ago
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆102Updated 4 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• jimmyyhwu / spatial-action-maps
  Learning robotic mobile manipulation with deep reinforcement learning
  ☆35Updated 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
• eleurent / obstacle-env
  An environment for an obstacle avoidance task
  ☆36Updated 3 years ago
• jaztsong / PILCO-gpytorch
  ☆34Updated 4 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• ioarun / pygame-robotics
  Basic robotics using pygame visualization.
  ☆14Updated 7 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆41Updated 2 years ago