Statistics for topic reinforcement-learning

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

The Fastest Deep Reinforcement Learning Library

A brief and partial summary of RLHF algorithms.

Reinforcement learning on general 2D physics environments in JAX

ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

A brief and partial summary of RLHF algorithms.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...

Machine learning, in numpy

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)

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

A brief and partial summary of RLHF algorithms.

Reinforcement learning on general 2D physics environments in JAX

The Fastest Deep Reinforcement Learning Library

An all-weather, day-and-night, collision avoidance simulator that can be implemented as a digital twin for the autonomous COLREG-compliant navigation of maritime vessels.

Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an implementation of SAC + Robust Control Barrier Functions...

The reinforcement learning training code for AgiBot X1.

Reinforcement learning on general 2D physics environments in JAX

A brief and partial summary of RLHF algorithms.

Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...

The reinforcement learning training code for AgiBot X1.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A brief and partial summary of RLHF algorithms.

The reinforcement learning training code for AgiBot X1.

Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

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

Deep Reinforcement Learning: Zero to Hero!

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

The reinforcement learning training code for AgiBot X1.

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

List of Computer Science courses with video lectures.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

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

[CoRL 2024] HumanPlus: Humanoid Shadowing and Imitation from Humans

An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.

World Model based Autonomous Driving Platform in CARLA :car:

Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"