pickxiguapi

Uni-RLHF-Platform

Uni-RLHF platform for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024)

Clean-Offline-RLHF

Offline RLHF codebase implementation for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024)

pic2face

Enter a photo and return a 3D model of face

euclid-iclr2023

Official implementation for "EUCLID: Towards efficient unsupervised reinforcement learning with multi-choice dynamics model" (ICLR2023)

BabyAI-text

We perform functional grounding of LLMs' knowledge in BabyAI-Text

ED2

the ED2 implementation

Mini-Uni-RLHF

Minimal implementation for easy-to-use RLHF annotation

Best-README-Template

An awesome README template to jumpstart your projects!

cleanrl

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

decision-diffuser

diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

diffusion_reward

Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"

dreamerv2

Mastering Atari with Discrete World Models

dreamerv3-torch

Implementation of Dreamer v3 in pytorch.

drqv2

DrQ-v2: Improved Data-Augmented Reinforcement Learning

Everything-LLMs-And-Robotics

The world's largest GitHub Repository for LLMs + Robotics

IQL

learning-from-scratch

The repository of On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline

MV-MWM

pickxiguapi.github.io

PreferenceTransformer

Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

RLHF

RLHF

robohive

A unified framework for robot learning

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

text2reward

Code for the paper "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning"

unstable_baselines

Re-implementations of SOTA RL algorithms.

v-d4rl

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations