dhj-worker

CausalDynamicsLearning

Explainable-Causal-Reinforcement-Learning

Explainable Causal Reinforcement Learning with attention

causal-rl

causal_rl

Causal models for reinforcement learning

CausalRL

Causal reinforcement learning using PROBABILISTIC EASY VARIATIONOAL CAUSAL EFFECT(PEACE)

Awesome-Causal-RL

A curated list of causal reinforcement learning resources.

TopologicalSemanticGraphMemory

Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)

url_benchmark

VCD

Code for Variational Causal Dynamics

mastering-urlb

[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.

GNFactor

[CoRL 2023 Oral] GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields

Carla_iLQR_MPC

Implementation of the real-time MPC based on iLQR in Carla simulator

mpcjax

A JAX library for Sequential Convex Programming (SCP) Model Predictive Control (MPC) path planning

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

rl_algorithms

Structural implementation of RL key algorithms

hand_dapg

Repository to accompany RSS 2018 paper on dexterous hand manipulation

TrafficBots

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5

DenseTNT

HPTR

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

ACO

[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

GPT4V-AD-Exploration

On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent

CppRobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

Awesome-Vehicle-Planning

This repo collects interesting papers related to Autonomous Vehicle Planning (along with some personal notes).

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

qpbenchmark

Benchmark for quadratic programming solvers available in Python

PythonLinearNonlinearControl

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Multi-Purpose-MPC

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

MPC

Model Predictive Control (MPC) for kinematic bicycle model