awesome-machine-learning-robotics

A curated list of resources about Machine Learning for Robotics
https://github.com/Phylliade/awesome-machine-learning-robotics

Last synced: 13 days ago
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Implementing RL algorithms
- Multi-task learning
  - Best pratices in implementing Deep RL algorithms
  - A note about gradient clipping - you-should-understand-backprop-e2f06eab496b).
Learned Approximate Inference
Meta-Learning
- Curriculum learning
  - Automated curriculum learning
- Goal Exploration Processes
  - Intrinsically Motivated Multi-Task Reinforcement Learning
- Multi-task learning
  - Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  - OpenAI Gym
  - Guided Policy Search
  - OpenAI baselines
  - Explauto
  - Keras-RL - compatible Deep Reinforcement Learning framework (DQN, SARSA, DDPG...).
  - Deepmind DQN
  - Devsisters DQN
  - Guided Policy Search
  - Deepmind DQN
Reinforcement Learning
- Deep Reinforcement Learning
- Policy Search
  - Reinforcement learning of motor skills with policy gradients
  - Guided policy search
- Reinforcement Learning Theory
- Reproducibility of Deep RL experiments
  - Deep RL that matters
  - Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Robotic platforms
- Multi-task learning
  - Poppy - source 3D-printed robotic ecosystem (humanoid, torso...)
  - Alexandre Pere
  - Pierre Manceron
  - Pierre Manceron
Robotic simulator
- Multi-task learning
  - OpenAI Roboschool - source.

Programming Languages

Python 3 Jupyter Notebook 1

Categories

Reinforcement Learning 14 Meta-Learning 12 Learned Approximate Inference 10 Robotic platforms 4 Implementing RL algorithms 2 Robotic simulator 1

Sub Categories

Multi-task learning 17 Deep Reinforcement Learning 7 Reinforcement Learning Theory 3 Reproducibility of Deep RL experiments 2 Policy Search 2 Goal Exploration Processes 1 Curriculum learning 1