Official PyTorch implementation of AlberDICE

ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)

Repository (preliminary codes) for DSTC10 SIMMC track.

A simple implementation of Generative Adversarial Imitation Learning with PyTorch

Representation Balancing MDPs for Off-Policy Policy Evaluation

Deep Reinforcement Learning for Keras.

A starter agent that can solve a number of universe environments.

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Open-source simulator for autonomous driving research.

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

random search, hill climbing, policy gradient

3D convolutional neural network for video classification

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Keras implementation of Wasserstein GAN. Modified from the ACGAN example.

Collection of generative models in Tensorflow

A toolkit for developing and comparing reinforcement learning algorithms.

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.