Cognitive-AI-Systems / MAPF-GPT-DDGLinks
[IROS-2025] MAPF-GPT-DDG is a scalable decentralized multi-agent pathfinding (MAPF) solver based on imitation learning. It builds upon MAPF-GPT by introducing a novel fine-tuning method called Delta Data Generation (DDG) — a reward-free active learning approach that identifies and corrects failure cases in the policy.
☆60Updated 5 months ago
Alternatives and similar repositories for MAPF-GPT-DDG
Users that are interested in MAPF-GPT-DDG are comparing it to the libraries listed below
Sorting:
- The original Shared Recurrent Memory Transformer implementation☆33Updated 5 months ago
- Model-Based Transfer Learning for Contextual Reinforcement Learning (NeurIPS 2024)☆26Updated last year
- ☆20Updated last month
- Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆66Updated 7 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆115Updated 3 months ago
- Repo to reproduce the First-Explore paper results☆38Updated last year
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆36Updated last year
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆35Updated 6 months ago
- General multi-task deep RL Agent☆186Updated last year
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆45Updated 6 months ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Simplest and Cleanest DreamerV3 implementation out there☆124Updated 9 months ago
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆105Updated 5 months ago
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).☆72Updated last year
- Python library for solving reinforcement learning (RL) problems using generative models.☆11Updated 10 months ago
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆121Updated last month
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated 2 years ago
- Explainable Reinforcement Learning (XRL) Resources☆45Updated last year
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆65Updated 10 months ago
- ☆73Updated 2 years ago
- [ICLR 2025] Official implementation of DICL (Disentangled In-Context Learning), featured in the paper "Zero-shot Model-based Reinforcemen…☆27Updated 10 months ago
- GPU-based Massively Parallel Environments for Large-Scale Combinatorial Optimization (CO) Problems Using Reinforcement Learning☆27Updated 3 weeks ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 2 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- ☆63Updated 3 months ago
- A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.☆18Updated last year
- ☆12Updated last year
- MAexp is a generic platform for RL-based multi-agent exploration☆103Updated 4 months ago
- ☆16Updated last year
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆116Updated last year