deeplearnerJHB

WU-UCT

A novel parallel UCT algorithm with linear speedup and negligible performance loss.

AC_CDQ

Action Candidate based Clipped Double Q-learning (Accepted by AAAI 2021)

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

3D-PointCloud

Papers and Datasets about Point Cloud.

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

PathPlanning

Common used path planning algorithms with animations.

PointFlowRenderer

Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

dm_hard_eight

FoldingNet

Organized code for the paper "FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation" (CVPR 2018).

FQF

FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for Atari games, which can learn to play Atari games automatically by predicting return distribution in the form of a fully parameterized quantile function.

DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

njustPhDRoad

从开题到离校——南京理工大学博士毕业之路

dcem

The Differentiable Cross-Entropy Method

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

gradcem

Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

self-imitation-learning

ICML 2018 Self-Imitation Learning

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).

TRGPPO

tianshou

An elegant PyTorch deep reinforcement learning library.

pytorch-latent-i2a

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

treeqn

Variational_Discriminator_Bottleneck

Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

Explorer

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.