quantile-regression-dqn-pytorch
Quantile Reg DQN
An implementation of a reinforcement learning algorithm using quantile regression to model distributional behavior in agent-environment interactions.
A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
94 stars
3 watching
26 forks
Language: Jupyter Notebook
last commit: about 4 years ago pytorchqr-dqnquantile-regression-dqnreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
hungtuchen/pytorch-dqn | An implementation of a deep reinforcement learning network using PyTorch to learn human-level control through trial and error. | 386 |
floringogianu/categorical-dqn | An implementation of reinforcement learning algorithm using PyTorch and designed to work with Atari games. | 96 |
kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 812 |
wohlert/generative-query-network-pytorch | A PyTorch implementation of a Generative Query Network model for generating 3D scenes and rendering them in various styles. | 322 |
minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 346 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
zhaoxrthu/dqn_of_dwa_matlab | Trains a Deep Q-Network to learn the weights of DWA's parameters | 70 |
tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 181 |
chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 264 |
ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |
l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
nexusapoorvacus/deepvariationstructuredrl | An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |