Tianhong Dai

reinforcement-learning-algorithms. This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

hindsight-experience-replay. This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

integrated-gradient-pytorch. This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

mosse-object-tracking. This is the implementation of MOSSE tracking algorithm (correlation filter based).

self-imitation-learning-pytorch. This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

distributed-ppo. This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

google-football-pytorch. It's the pytorch implementation of google research football.

modular-agent-fullstack. A modular, LLM-agnostic fullstack agent framework.

metaworld-sac. Python

wavelet-hdr. This is the official code for our paper "Wavelet-Based Network For High Dynamic Range Imaging" [CVIU 2023].

div-hindsight. This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].

esil-hindsight. This is the official code of our paper "Episodic Self-Imitation Learning with Hindsight" [Electronics 2020].

deep-hdr-baselines. Python

react2-code. This is the official code of our paper "Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies" [Communications Medicine 2022].

dockerfiles. It contains the dockerfiles for the purpose of machine learning / deep learning research.

DouTu.