Project on multi agent reinforcement learning applied on patrolling agents
☆40Dec 10, 2019Updated 6 years ago
Alternatives and similar repositories for marl-patrolling-agents
Users that are interested in marl-patrolling-agents are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆10Oct 3, 2023Updated 2 years ago
- A multi-agent version of the Double DQN algorithm, with Foraging Task and Pursuit Game test scenarios☆12Apr 24, 2017Updated 9 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Mar 19, 2018Updated 8 years ago
- 各种环境下多智能体协同围捕算法的实现☆15Mar 28, 2021Updated 5 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Jun 12, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games☆15Jun 14, 2019Updated 7 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆68Jul 9, 2019Updated 7 years ago
- Project explores collaboration capabilities of VDN and IQL agents on a custom MARL Food Collector environment☆11Apr 6, 2022Updated 4 years ago
- Code and models for the paper Path Reasoning over Knowledge Graph: A Multi-Agent and Reinforcement Learning Based Method☆18Nov 23, 2020Updated 5 years ago
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆12Jan 14, 2022Updated 4 years ago
- RL Agent for Atari Game Pong☆11Aug 25, 2019Updated 7 years ago
- Deep Q Network for Multi-agent RL☆15Oct 18, 2020Updated 5 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆27Nov 20, 2019Updated 6 years ago
- Pytorch implementation of Human-Level Control through Deep Reinforcement Learning☆11May 31, 2017Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 通过python3.6编程,利用DQN算法实现机器学习避开障碍走到迷宫终点。(Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…☆10Apr 15, 2018Updated 8 years ago
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Mar 7, 2018Updated 8 years ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- scalable multi agents reinforcement learning☆63Apr 20, 2018Updated 8 years ago
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Apr 17, 2019Updated 7 years ago
- DDQN inplementation on PLE FlappyBird environment in PyTorch.☆21Apr 5, 2018Updated 8 years ago
- Continual Multi-agent Reinforcement Learning in Dynamic Environments☆11Jul 1, 2021Updated 5 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Apr 26, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Decentralized multi-agent collision avoidance☆12Apr 20, 2020Updated 6 years ago
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Oct 20, 2018Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Mar 1, 2018Updated 8 years ago