Ilya Kostrikov

pytorch-a2c-ppo-acktr-gail. PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c. PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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

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

pytorch-flows. PyTorch implementations of algorithms for density estimation

pytorch-trpo. PyTorch implementation of Trust Region Policy Optimization

rlpd. Python

implicit_q_learning. Python

pytorch-meta-optimizer. A PyTorch implementation of Learning to learn by gradient descent by gradient descent

pytorch-ddpg-naf. Implementation of algorithms for continuous control (DDPG and NAF).

walk_in_the_park. Python

TensorFlow-Pointer-Networks. TensorFlow implementation of Pointer Networks

pytorch-rl.

jaxrl2. Jupyter Notebook

dmcgym. Python

linenplus. Flax extensions.

cql-results. Python

gail-experts.

gym. A toolkit for developing and comparing reinforcement learning algorithms.

motion_imitation. Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

mazelab. A customizable framework to create maze and gridworld environments

roboverse. A set of environments utilizing pybullet for simulation of robotic manipulation tasks.

Implicit-Q-Learning. PyTorch implementation of the implicit Q-learning algorithm (IQL)

unitree_sim. MuJoCo models for Unitree Robots

Mine_tf2.0. MINE: Mutual Information Neural Estimation in pytorch

doodad. Python