flatland-association / flatland-rl
The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.
☆36Updated this week
Alternatives and similar repositories for flatland-rl:
Users that are interested in flatland-rl are comparing it to the libraries listed below
- A multi-agent reinforcement learning solution to Flatland3 challenge.☆16Updated last year
- Public version of the decentralized, attention-based mTSP code☆36Updated 3 years ago
- Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.☆58Updated 3 years ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆85Updated 2 weeks ago
- Uber's Multi-Agent Routing Value Iteration Network☆64Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆64Updated 6 months ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆43Updated 6 months ago
- DecentralizedLearning☆24Updated 2 years ago
- ☆17Updated 2 years ago
- ☆43Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- ☆31Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Code repository for "N-agent Ad Hoc Teamwork" paper (Wang et al., Neurips 2024).☆15Updated 2 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆41Updated 6 months ago
- Collection of OpenAI parametrized action-space environments.☆64Updated last week
- ☆74Updated 9 months ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆22Updated 3 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago
- ☆48Updated 3 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆68Updated 3 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 6 months ago
- RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomo…☆16Updated this week
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralize…☆41Updated last year
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆40Updated 3 years ago
- ☆11Updated 10 months ago