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 8 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
- Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games☆15Jun 14, 2019Updated 6 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.
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Jul 9, 2019Updated 6 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Jun 12, 2018Updated 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
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Nov 20, 2019Updated 6 years ago
- 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
- Pytorch implementation of Human-Level Control through Deep Reinforcement Learning☆11May 31, 2017Updated 8 years ago
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- RL Agent for Atari Game Pong☆12Aug 25, 2019Updated 6 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
- DDQN inplementation on PLE FlappyBird environment in PyTorch.☆22Apr 5, 2018Updated 8 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Apr 26, 2022Updated 3 years ago
- Continual Multi-agent Reinforcement Learning in Dynamic Environments☆11Jul 1, 2021Updated 4 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
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Oct 20, 2018Updated 7 years ago
- ☆50Jul 23, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆22Feb 20, 2023Updated 3 years ago
- Kubernetes CSI Driver for serving OCI model artifacts☆25Mar 23, 2026Updated 3 weeks ago
- ☆17Oct 2, 2021Updated 4 years ago
- Multi-Exit Evacuation simulation; Rainbow DQN application☆18Sep 4, 2020Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆355May 12, 2020Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆35May 14, 2019Updated 6 years ago
- Deep Q Network implements by Tensorflow☆25Mar 9, 2018Updated 8 years ago
- ☆10Apr 7, 2021Updated 5 years ago
- Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning☆215Jul 21, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implemenation of DDPG with numpy only (without Tensorflow)☆14Mar 4, 2018Updated 8 years ago
- Simple Reinforcement learning tutorials☆17Sep 6, 2019Updated 6 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆690Nov 26, 2019Updated 6 years ago
- Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles☆10Mar 6, 2026Updated last month
- Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment☆18Jun 2, 2020Updated 5 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Dec 17, 2019Updated 6 years ago
- Python tool for generating undirected weighted graphs representing road networks.☆11May 26, 2024Updated last year