baichenjia Goto Github PK
Name: Bai Chenjia
Type: User
Company: Shanghai AI Lab
Bio: Reinforcement Learning
Name: Bai Chenjia
Type: User
Company: Shanghai AI Lab
Bio: Reinforcement Learning
Accompanying repository for Let's make a DQN / A3C series.
github pages
Efficient Exploration through Bayesian Deep Q-Networks
Tensorflow implementation of Bayesian linear regression (Weight Uncertainty in Neural Networks)
BeCL: Behavior Contrastive Learning for Unsupervised Skill Discovery.
Mutual Information and Entropy estimation of BeCL and baseline methods
Code for "Addressing Hindsight Bias in Multi-Goal Reinforcement Learning"
A3C method in Breakout game
Implement C3D model for video recognition proporsed in "Learning Spatiotemporal Features with 3D Convolutional Networks"
Curiosity Bottleneck in Self-Supervised Learning Setting
Constrained Ensemble Exploration for Unsupervised Skill Discovery
using basic neural network and softmax/SVM loss function to classify the CIFAR-10 image set
CLIPort: What and Where Pathways for Robotic Manipulation
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Keras implementation of Representation Learning with Contrastive Predictive Coding
Tensorflow implementation of CycleGAN "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks"
Dynamic Bottleneck for Robust Self-Supervised Exploration
Tensorflow eager implementation of "DCGAN"
DeepLearning for self driving cars
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
Reproduce for "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update" (NeurIPS 2019) with Tensorflow
Figures for Embodied Survey
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
G-HER algorithm
Tensorflow eager for "categorical variational autoencoder using the Gumbel-Softmax estimator"
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.