Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

A parallel framework for population-based multi-agent reinforcement learning.

✨✨Latest Advances on Multimodal Large Language Models

Train transformer language models with reinforcement learning.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

A modular RL library to fine-tune language models to human preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

Reference implementation for DPO (Direct Preference Optimization)

A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]

This repository is used to collect NeRF papers on autonomous driving

HuaHuoLabel is a multifunctional AI data label tool, which supports data label of five computer vision tasks, including single-category classification, multi-category classification, semantic segme…

Driving in CARLA using model-free deep reinforcement learning

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Gather AIGC most useful tools, materials, publications and reports

This repository contains the official implementation of the following paper: Lazy and Fast Greedy MAP Inference for Determinantal Point Process

Fast Greedy MAP Inference for DPP

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

A Library for Active Preference-based Reward Learning Algorithms

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)

Reinforcement learning algorithms for MuJoCo tasks

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Massively Parallel Deep Reinforcement Learning. 🔥

An open autonomous driving platform