HuXingYu1016's Stars
Cognitive-AI-Systems/learn-to-follow
[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.
RuiqiZhang99/MARL4AD
This is a source repository for Multi-Agent Reinforcement Learning for Autonomous Driving research
deepseek-ai/DeepSeek-Prover-V1.5
RL4VLM/RL4VLM
Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
chatchat-space/Langchain-Chatchat
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
cts198859/deeprl_network
multi-agent deep reinforcement learning for networked system control.
sbl1996/ygo-agent
AI-driven Yu-Gi-Oh! bot using deep reinforcement learning and LLMs
junxiaosong/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
raphychek/mbappe-nuplan
zengqunzhao/MA-Net
[TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild
cuijiaxun/MITC-Project
TMIS-Turbo/FNI-RL
[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
angle-nature/paper-about-AD_based_on_RL
This repository will share recent paper about AD&RL
hustvl/VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Metro1998/hppo-in-traffic-signal-control
yuweihao/MambaOut
MambaOut: Do We Really Need Mamba for Vision?
jchengai/pluto
PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving
PuYuuu/vehicle-interaction-decision-making
The decision-making of multiple vehicles at intersection bases on level-k game and MCTS
KhMustafa/Risk-aware-contingency-planning-with-multi-modal-predictions
This repository includes the source code associated with the paper "RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions", accepted for publication at IEEE Transactions on Intelligent Vehicles.
avillaflor/P2DBM
mit-wu-lab/automatic_vehicular_control
[IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning
koulanurag/muzero-pytorch
Pytorch Implementation of MuZero
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
maohangyu/PDiT
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presentation).
maohangyu/TIT_open_source
The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
huahuaedi/MARL_in_CAV_control_review
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
opendilab/LightZero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
michigan-traffic-lab/Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
T-urning/SIT_TrajectoryPrediction
Trajectory prediction on the NGSIM dataset.
TimeBreaker/MARL-papers-with-code
Multi-Agent Reinforcement Learning (MARL) papers with code