awesome-machine-learning-robotics
github.com/phylliade/awesome-machine-learning-robotics ↗A curated list of resources about Machine Learning for Robotics
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Curated Resources
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Last Refreshed
Learned Approximate InferenceReinforcement LearningMeta-LearningImplementing RL algorithmsRobotic simulatorRobotic platforms
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Installation instructions →What's inside
Robotic platforms
Implementing RL algorithms
Learned Approximate Inference
- Auto-Encoding Variational Bayes
- Deep Kalman Filters
- Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
- Gradient Estimation Using Stochastic Computation Graphs
- Improved Variational Inference with Inverse Autoregressive Flows
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Meta-Learning
- Automated curriculum learningCurriculum learning
- Deepmind DQNMulti-task learning
- Devsisters DQNMulti-task learning
- ExplautoMulti-task learning
- Guided Policy SearchMulti-task learning
- Intrinsically Motivated Multi-Task Reinforcement LearningGoal Exploration Processes
Reinforcement Learning
- Continuous control with Deep Reinforcement LearningDeep Reinforcement Learning
- Deep RL that mattersReproducibility of Deep RL experiments
- Deterministic Policy Gradient AlgorithmsReinforcement Learning Theory
- Emergence of Locomotion Behaviours in Rich EnvironmentsDeep Reinforcement Learning
- Guided policy searchPolicy Search
- Human-level control through deep reinforcement learningDeep Reinforcement Learning
Robotic simulator
Showing a sample of 39 resources. View the full list on GitHub →