Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.

Reference implementation for DPO (Direct Preference Optimization)

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

This is the repository for our paper "Learning Latent Representations to Co-Adapt to Humans" [http:https://arxiv.org/abs/2212.09586]

A minimum example of aligning language models with RLHF similar to ChatGPT

A guide to contributing to open source

A collection of MARL benchmarks based on TorchRL

Overcooked human-AI experiment platform

This is a repository for Hidden-utility Self-Play.

Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates!

Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method

A benchmark environment for fully cooperative human-AI performance.

An index of algorithms for offline reinforcement learning (offline-rl)

A curated list of awesome Human-AI Interaction

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization