longpingli

longpingli's Stars

• PKU-Alignment/omnisafe

  JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python96640108132

• chauncygu/Safe-Reinforcement-Learning-Baselines

  The repository is for safe reinforcement learning baselines.

  Language:Jupyter Notebook54913182

• chauncygu/Multi-Agent-Constrained-Policy-Optimisation

  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

  Language:Python15431026

• AntoineTheb/RNN-RL

  Experiments with reinforcement learning and recurrent neural networks

  Language:Python1134216

• rodriguesrenato/coverage-path-planning

  A coverage path planning algorithm that combines multiple search algorithms to find a full coverage trajectory with the lowest cost.

  Language:Python1021114

• philtabor/Multi-Agent-Reinforcement-Learning

  PyTorch implementations of MADDPG, MAPPO (coming)

  Language:Python981217

• BIT-XJY/RL-based-Transferable-EMS

  [IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

  Language:Python864013

• LYSJ-feng/mCPP-based-on-MADDPG

  created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively

  Language:Python83007

• wyqy/TongjiThesis_Proto

  同济大学硕博士论文 LaTeX 模板 Tongji-Thesis - 2024 修订

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• sanmuyang/multi-agent-PPO-on-SMAC

  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.

  Language:Python59225

• JonasVervloet/RL-Coverage-Planner

  A Reinforcement Learning (RL) agent for Coverage Path Planning.

  Language:Python58129

• maohangyu/marl_demo

  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention Multi-Agent DDPG) and NCC-MARL (Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning).

  Language:Python51106

• AytacKahveci/multirobot_coverage

  Multi-robot Coverage Path Planning

  Language:Python38117

• maticpokorn/smart-home-energy-trading-with-DRL

  Source code for simulating a Home Energy Management System with Deep Reinforcement Learning

  Language:Python20212

• fredrikofstad/RL-Microgrid-Coordination

  Coordinating energy management for microgrid using reinforcement learning

  Language:Python19201

• XinJingHao/Prioritized-Experience-Replay-DDQN-Pytorch

  A clean and robust implementation of Prioritized DQN and Prioritized Double DQN

  Language:Python19111

• ShengrenHou/Energy-management-MIP-Deep-Reinforcement-Learning

  source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch

  16543

• lambdavi/path_planning_drl

  Researching new methods to leverage Coverage and Path Planning using DeepRL

  Language:Python14203

• MengHsux/deep-reinforcement-learning-for-multi-agent-coverage-path-planning-

  Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning

  Language:Python12101

• wild-firefox/FreeRL

  Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MAAC MAPPO

  Language:Python122

• fanzhangg/uav-path-coverage

  path coverage algorithm for drones using reinforcement learning

  Language:Python11100

• h-brenne/cppRL

  Coverage path planning with Reinforcement Learning

  Language:Python102

• junaiddk/transmix

  TransMix: Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning

  Language:Python9110

• vthiru300/Deep-Reinforcement-Learning-and-Object-Tracking-for-SmallSat-UAV-Coverage-Path-Planning-Paper

  Deep Reinforcement Learning and Object-Tracking for SmallSat/UAV Coverage Path-Planning Paper

  3100

• chauncygu/Safe-Policy-Optimization-Serial-Version

  This is a benchmark repository for safe reinforcement learning algorithms

  Language:Python2000

• phillipinseoul/Cluster-MAAC

  Code for applying clutering onto MAAC actor-critic algorithm for MARL. Project for CS470 (KAIST, Spring 22').

  Language:Python2110

• tinyzqh/Course-notes

  Here are some notes I took during my own deep learning, machine learning sessions

  2004

• deligentfool/MAAC_pytorch

  Language:Python120

• liusida/lstm_rl

  A pytorch implementation of LSTM RL

  Language:Python1

• LYSJ-feng/tf2multiagentrl

  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

  Language:Python1000