Addressing Signal Delay in Deep Reinforcement Learning

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

An Integrated Cyber-Physical Ecosystem for Autonomous Driving Research and Education

Official repository of Learning to Act from Actionless Videos through Dense Correspondences.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Combining Evolutionary Algorithms and deep RL in various ways

Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

A collection of reference environments for offline reinforcement learning

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".

A Python package that provides evaluation and visualization tools for the DexYCB dataset

DFBT, Directly Forecasting Belief for Reinforcement Learning with Delays, ICML 2025, Poster

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

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

This is the repository of the F1TENTH Gym environment.

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

[CVPR 2025] GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities

Must-read papers on graph neural networks (GNN)

Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)

PyTorch implementation of Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.