xiaoxiguaa

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

RL-algorithms

RL algorithms

DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

DeepRL-Chinese

cleanrl

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

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

SMPC_MMPreds

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

LAV

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

zotero-pdf-preview

Preview Zotero attachments in the library view.

plant

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

PathPredictNusc

transfuser

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

GroupNet

[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

TNT-Trajectory-Prediction

A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

dqn-dense-traffic

Decision Making in Dense Traffic using Deep Q-Learning

rl-agents

Implementations of Reinforcement Learning and Planning algorithms

LSTM-TD3

The implementation of LSTM-TD3.

Recurrent-Deep-Q-Learning

Solving POMDP using Recurrent networks

SAT

An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

Unity_ML_Agent

This repository is for Reinforcement Learning algorithms with Unity ML Agent

Carla-RL

Reinforcement Learning codebase for self-driving car in Carla

AI_SelfDriving

A kivy map to drive a Tesla on. Learns using TD3 or Twin Delayed DDPG algorithm.

mile

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

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

carla-roach

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

rllib-integration

Integration of RLLib and CARLA

Cadre

[AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving