Overview of Double Q-Learning and Examples of Algorithms and Implementations
Over view of Double Q-Learning
Double Q-Learning is a type of Q-Learning described in "Overview of Q-Learni...
深層学習:Deep Learning
Overview of counterfactual virtual learning using graph neural networks, related algorithms and implementation examples.
Overview of counterfactual virtual learning using graph neural networks.
Counterfactual learning (counterf...
Bidirectional RNN（BRNN）
Overview of Bidirectional RNN（BRNN）
Bidirectional Recurrent Neural Network (BRNN) is a type of recurrent n...
Overview of Trust Region Policy Optimization (TRPO), its algorithms and example implementations
Overview of Trust Region Policy Optimization (TRPO)
Trust Region Policy Optimization (TRPO) is a reinforcem...
Overview of GRUs and examples of algorithms and implementations
Overview of GRU（Gated Recurrent Unit）
GRUs (Gated Recurrent Units) are a type of recurrent neural network ...
Overview of Drift-detection-based Inverse Reinforcement Learning and examples of algorithms and implementations
Overview of Drift-based Inverse Reinforcement Learning
Drift-detection-based Inverse Reinforcement Learning...
Overview of Bayesian Neural Networks and Examples of Algorithms and Implementations
Bayesian Neural Networks
Bayesian neural networks (BNNs) are architectures that integrate probabilistic el...
Overview of proposal networks and examples of algorithms and implementation
Proposal network overview
A proposal network is a type of neural network used mainly in computer vision and i...
Bidirectional LSTM Overview, Algorithm and Implementation Examples
Overview of Bidirectional LSTM
Bidirectional LSTM (Long Short-Term Memory) is a type of recurrent neural n...
Overview of Feature-based Inverse Reinforcement Learning and examples of algorithms and implementations.
Overview of Feature-based Inverse Reinforcement Learning
Feature-based Inverse Reinforcement Learning (Feat...