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[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
A curated list of reinforcement learning with human feedback resources (continually updated)
A curated list of visual reinforcement learning resources
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
An index of algorithms for offline reinforcement learning (offline-rl)
A curated list of awesome model based RL resources (continually updated)
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Equation Learner, a neural network approach to symbolic regression
TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning" (ICLR 2022).
Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
📡 Simple and ready-to-use tutorials for TensorFlow
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
Collection of reinforcement learning algorithms
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
PyTorch implementations of deep reinforcement learning algorithms and environments