A Japanese (Riichi) Mahjong AI Framework

A curated list of resources about Machine Learning for Robotics

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Implement many Sparse Reward algorithms in Gym Fetch environment

Awesome list for Neural Network Optimization methods.

[ICLR 2025] NextBestPath: Efficient 3D Mapping of Unseen Environments

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient LLM Reasoning

Curriculum Learning related papers and materials

Curriculum Learning - Tensorflow

A curated list of free courses from reputable universities that meet the requirements of an undergraduate curriculum in Data Science, excluding general education. With projects, supporting materials in an organized structure.

[ICLR 2026] RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling

Implementation of "Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel" paper (ICC 2023)

Code for Automatic Curriculum Learning through Value Disagreement

[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Code for the paper "Curriculum Dropout", ICCV 2017

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

Official code repository for CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

stable-baselines3 reinforcement learning on SUMO traffic light system

[NeurIPS 2022, Neuron 2024] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022

Hadwritten Text Recognition in Few-shot Scenario

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020)

RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoration (CLR) problem.

An efficient curriculum learning-based strategy for molecular graph learning

Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).

Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.

reimplementing Neural Summarization by Extracting Sentences and Words