OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

code for ROMANCE

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Code for ICLR 2023 paper "Imitating Human Behaviour with Diffusion Models"

pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation

AI-driven Yu-Gi-Oh! bot using deep reinforcement learning and LLMs

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

This is the official implementation of Multi-Agent PPO (MAPPO).

Datasets with baselines for offline multi-agent reinforcement learning.

Official PyTorch implementation for ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer (ECCV2024 Workshop)

[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

Code for AAMAS 2024 "Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation"

Codebase for ICLR 2023 paper, "SMART: Self-supervised Multi-task pretrAining with contRol Transformers"

A minimal implementation of a denoising diffusion model in PyTorch.

Minimal template for JAX-based reinforcement learning projects

A curated list of reinforcement learning with human feedback resources (continually updated)

Instruction Following Agents with Multimodal Transforemrs

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

Algorithms associated with reward learning, written in pytorch

A collection of MARL benchmarks based on TorchRL

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.