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awesome-machine-learning-robotics

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

Last synced: about 6 hours ago
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Meta-Learning
- Multi-task learning
- Goal Exploration Processes
  - Intrinsically Motivated Multi-Task Reinforcement Learning
- Curriculum learning
  - Automated curriculum learning
Learned Approximate Inference
Reinforcement Learning
- Deep Reinforcement Learning
- Reproducibility of Deep RL experiments
  - Deep RL that matters
  - Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
- Reinforcement Learning Theory
  - Deterministic Policy Gradient Algorithms
- Policy Search
  - Reinforcement learning of motor skills with policy gradients
  - Guided policy search
Implementing RL algorithms
- Multi-task learning
  - Best pratices in implementing Deep RL algorithms
  - A note about gradient clipping - you-should-understand-backprop-e2f06eab496b).
Robotic platforms
- Multi-task learning
  - Poppy - source 3D-printed robotic ecosystem (humanoid, torso...)
  - Alexandre Pere
  - Pierre Manceron

Programming Languages

Jupyter Notebook 1 Python 1

Categories

Reinforcement Learning 10 Learned Approximate Inference 9 Meta-Learning 7 Robotic platforms 3 Implementing RL algorithms 2

Sub Categories

Multi-task learning 10 Deep Reinforcement Learning 5 Reproducibility of Deep RL experiments 2 Policy Search 2 Reinforcement Learning Theory 1 Goal Exploration Processes 1 Curriculum learning 1