ikostrikov

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation...

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For...

PyTorch implementations of algorithms for density estimation

PyTorch implementation of Trust Region Policy Optimization

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

Implementation of algorithms for continuous control (DDPG and NAF).

TensorFlow implementation of Pointer Networks