Pytorch Implementation of Proximal Policy Optimization Algorithm
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FTRL proximal algorithm according to McMahan et al. 2013
Evolution Strategies in PyTorch (Tic-tac-toe)
Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
Implement DNN or ML models and advanced policies with PyTorch.(Include experiment)
Graph Convolution Network for PyTorch
Pytorch Implementations for popular GAN algorithms.
This package implements some optimization methods used in numerical optimiation tasks for neural ...
Robust policy search algorithms which train on model ensembles
Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)
Autonomous Navigation using Deep Reinforcement Learning
An official implementation of "An Efficient Combinatorial Optimization Model Using Learning-to-Ra...
Easy, flexible, and modular RL components
Examples of published reinforcement learning algorithms in recent literature implemented in Tenso...
Reinforcement Learning Samples