sanghyunyi / alphago_zero
A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"
☆13Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for alphago_zero
- RWA in pytorch☆14Updated 7 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 7 years ago
- ☆11Updated 8 years ago
- ☆8Updated 7 years ago
- Visual Question Answering system's different implementations☆10Updated 7 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆35Updated 8 years ago
- Low-rank Highway Networks☆14Updated 8 years ago
- reinforcement learning. policy gradient. PCL☆38Updated 7 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆23Updated 6 years ago
- Source repo for tensor-train recurrent neural network for long-term forecasting☆8Updated 6 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆31Updated 6 years ago
- Python codes for Lasso feature selection☆13Updated 5 years ago
- ☆14Updated 9 years ago
- ☆30Updated 7 years ago
- Neural-based Noise Filtering from Word Embeddings☆11Updated 7 years ago
- LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31…☆10Updated 7 years ago
- Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc☆41Updated 8 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 6 years ago
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆9Updated 8 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras☆18Updated 6 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Updated 8 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆9Updated last year
- Machine Learning examples adapted from Hastie, Tibshirani, and Friedman book☆9Updated 7 years ago
- RNNprop☆36Updated 7 years ago
- Differentiable neural computers☆28Updated 8 years ago
- A PyTorch implement of Dilated RNN☆12Updated 6 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- Random Forest Learner to predict stock prices☆11Updated 10 years ago