A curated list of resources about Machine Learning for Robotics

A Japanese (Riichi) Mahjong AI Framework

Official code for "SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization"

[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)

Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD

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 (EMNLP 2025)

Curriculum Learning related papers and materials

Curriculum Learning - Tensorflow

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

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.

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

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