Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Last update: May 12, 2022

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Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Prerequisites:

Python3
Matplotlib
Numpy
Itertools
cvxpy

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Implementation for Explicable Reward Design for Reinforcement Learning Agents
- Code: Main Paper
  - ROOMSNAVENV
  - LINEKEYNAVENV
- Code: Appendix

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Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Related tags

Overview

Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Prerequisites:

Navigation

Owner

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI

🤖 A Python library for learning and evaluating knowledge graph embeddings

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Driller: augmenting AFL with symbolic execution!

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Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

PyTorch trainer and model for Sequence Classification

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Public Implementation of ChIRo from "Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations"

Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Related tags

Overview

Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

Prerequisites:

Navigation

Owner

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to TPAMI

🤖 A Python library for learning and evaluating knowledge graph embeddings

MediaPipeで姿勢推定を行い、Tokyo2020オリンピック風のピクトグラムを表示するデモ

Final report with code for KAIST Course KSE 801.

Driller: augmenting AFL with symbolic execution!

Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'

Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)

A curated list and survey of awesome Vision Transformers.

Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

PyTorch trainer and model for Sequence Classification

TLDR; Train custom adaptive filter optimizers without hand tuning or extra labels.

This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)

OpenIPDM is a MATLAB open-source platform that stands for infrastructures probabilistic deterioration model

Public Implementation of ChIRo from "Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations"

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI