posters for all CVPR2024 Award papers (Highlight and Oral)

Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

This repository contains exercises that demonstrate how to automate these unit operations using DWSim. These exercises include code examples, tutorials, and documentation on how to implement automa…

DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.

PWM: Policy Learning with Large World Models

[ICLR 2024] Generalizable and Precise Head Avatar from Image(s)

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Graph Neural Network Library for PyTorch

An up-to-date list of time-series related papers in AI venues.

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

Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"

A collection of resources on applications of multi-modal learning in medical imaging.

LLM101n: Let's build a Storyteller

A curated list of awesome resources for camouflaged/concealed object detection (COD).

A collection of resources on Medical Vision-Language Models

A recipe for online RLHF.

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

A gym environment for a miniature racecar using the pybullet physics engine.

This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for g…

Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.

This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. Pre-trained Agent Zoo: https://huggingface.co/Leoxxxxh/ZSC-Ev…

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements in sample efficiency and asymptotic performance across diver…

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference