This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" (PRICAI 2021)

Related tags

Deep Learningdeep-reinforcement-learninghindsight-experience-replaydeterminantal-point-processes
Overview

Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay

This is the official implementation of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay" (PRICAI 2021).

envs

Pre-requisites

  • python==3.6.8
  • gym==0.12.5
  • mujoco-py==2.0.2.0
  • tensorflow==1.13.1

Installation

  1. Install the OpenMPI:
sudo apt-get install openmpi-bin openmpi-doc libopenmpi-dev
  1. Install the required python packages.
  2. Install baseline:
pip install -e .

Usage

Enter to the specific location:

cd ./baselines/her/experiment

The scripts for FetchEnv:

python train.py --env_name FetchPush-v1 --clip_div=0.001 --use_kdpp True --prioritization diversity --seed 0 --n_epochs 50 --num_cpu 16 --logdir logs/fetchpushv1/cpu16ep50/alg=DDPG+DTGSH=/r0 --logging True
python train.py --env_name FetchPickAndPlace-v1 --clip_div=0.001 --use_kdpp True --prioritization diversity --seed 0 --n_epochs 50 --num_cpu 16 --logdir logs/fetchpickv1/cpu16ep50/alg=DDPG+DTGSH=/r0 --logging True

The scripts for HandEnv:

python train.py --env_name HandManipulateEggFull-v0 --use_kdpp True  --prioritization diversity --seed 0 --goal_type full --sigma 0.1 --n_epochs 50 --num_cpu 16 --logdir logs/handegg1/cpu16ep50/alg=DDPG+DTGSH=/r0 --logging True
python train.py --env_name HandManipulateBlockRotateXYZ-v0 --use_kdpp True  --prioritization diversity --seed 0 --goal_type rotate --sigma 0.1 --n_epochs 50 --num_cpu 16 --logdir logs/handblock1/cpu16ep50/alg=DDPG+DTGSH=/r0 --logging True
python train.py --env_name HandManipulatePenRotate-v0 --use_kdpp True --prioritization diversity --seed 0 --goal_type rotate --sigma 0.1 --n_epochs 50 --num_cpu 16 --logdir logs/handpen1/cpu16ep50/alg=DDPG+DTGSH=/r0 --logging True

Acknowledgements

Owner
Tianhong Dai
Deep Reinforcement Learning and Computer Vision
Tianhong Dai
GitHub Repository
Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

Episodic Transformers (E.T.) Episodic Transformer for Vision-and-Language Navigation Alexander Pashevich, Cordelia Schmid, Chen Sun Episodic Transform

Alex Pashevich 62 Dec 24, 2022
Code for the paper: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Non-Parametric Prior Actor-Critic (N-PPAC) This repository contains the code for On Pathologies in KL-Regularized Reinforcement Learning from Expert D

Cong Lu 5 May 13, 2022
A study project using the AA-RMVSNet to reconstruct buildings from multiple images

3d-building-reconstruction This is part of a study project using the AA-RMVSNet to reconstruct buildings from multiple images. Introduction It is exci

17 Oct 17, 2022
PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

HAN PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network" This repository is for HAN introduced in the

五维空间 140 Nov 23, 2022
A small library of 3D related utilities used in my research.

utils3D A small library of 3D related utilities used in my research. Installation Install via GitHub pip install git+https://github.com/Steve-Tod/util

Zhenyu Jiang 8 May 20, 2022
PyTorch IPFS Dataset

PyTorch IPFS Dataset IPFSDataset(Dataset) See the jupyter notepad to see how it works and how it interacts with a standard pytorch DataLoader You need

Jake Kalstad 2 Apr 13, 2022
JupyterNotebook - C/C++, Javascript, HTML, LaTex, Shell scripts in Jupyter Notebook Also run them on remote computer

JupyterNotebook Read, write and execute C, C++, Javascript, Shell scripts, HTML, LaTex in jupyter notebook, And also execute them on remote computer R

1 Jan 09, 2022
Code for Paper: Self-supervised Learning of Motion Capture

Self-supervised Learning of Motion Capture This is code for the paper: Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki, Self-sup

Hsiao-Yu Fish Tung 87 Jul 25, 2022
Crosslingual Segmental Language Model

Crosslingual Segmental Language Model This repository contains the code from Multilingual unsupervised sequence segmentation transfers to extremely lo

C.M. Downey 1 Jun 13, 2022
QTool: A Low-bit Quantization Toolbox for Deep Neural Networks in Computer Vision

This project provides abundant choices of quantization strategies (such as the quantization algorithms, training schedules and empirical tricks) for quantizing the deep neural networks into low-bit c

Monash Green AI Lab 51 Dec 10, 2022
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering

Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering

Meng Liu 2 Jul 19, 2022
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

OptiCL OptiCL is an end-to-end framework for mixed-integer optimization (MIO) with data-driven learned constraints. We address a problem setting in wh

Holly Wiberg 57 Dec 26, 2022
A new benchmark for Icon Question Answering (IconQA) and a large-scale icon dataset Icon645.

IconQA About IconQA is a new diverse abstract visual question answering dataset that highlights the importance of abstract diagram understanding and c

Pan Lu 24 Dec 30, 2022
Faster RCNN with PyTorch

Faster RCNN with PyTorch Note: I re-implemented faster rcnn in this project when I started learning PyTorch. Then I use PyTorch in all of my projects.

Long Chen 1.6k Dec 23, 2022
Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"

Status: Archive (code is provided as-is, no updates expected) Disclaimer This code is a based on "Jukebox: A Generative Model for Music" Paper We adju

Wadhah Zai El Amri 24 Dec 29, 2022
App customer segmentation cohort rfm clustering

CUSTOMER SEGMENTATION COHORT RFM CLUSTERING TỔNG QUAN VỀ HỆ THỐNG DỮ LIỆU Nên chuyển qua theme màu dark thì sẽ nhìn đẹp hơn https://customer-segmentat

hieulmsc 3 Dec 18, 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int

Jiwoon Ahn 337 Dec 15, 2022
Code associated with the paper "Deep Optics for Single-shot High-dynamic-range Imaging"

Deep Optics for Single-shot High-dynamic-range Imaging Code associated with the paper "Deep Optics for Single-shot High-dynamic-range Imaging" CVPR, 2

Stanford Computational Imaging Lab 40 Dec 12, 2022
PyTorch Implement for Path Attention Graph Network

SPAGAN in PyTorch This is a PyTorch implementation of the paper "SPAGAN: Shortest Path Graph Attention Network" Prerequisites We prefer to create a ne

Yang Yiding 38 Dec 28, 2022
Deep learning models for change detection of remote sensing images

Change Detection Models (Remote Sensing) Python library with Neural Networks for Change Detection based on PyTorch. ⚡ ⚡ ⚡ I am trying to build this pr

Kaiyu Li 176 Dec 24, 2022