devindeng94 / LLM-SMAC
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models
☆39Updated last month
Alternatives and similar repositories for LLM-SMAC
Users that are interested in LLM-SMAC are comparing it to the libraries listed below
Sorting:
- Google Research Football MARL Benchmark and Research Toolkit☆41Updated 11 months ago
- ☆70Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmi…☆121Updated 2 weeks ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆41Updated 6 months ago
- Enabling Mixed Opponent Strategy Script and Self-play on SMAC☆28Updated 2 weeks ago
- ☆40Updated last week
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 4 months ago
- ☆29Updated last year
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆25Updated 7 months ago
- This is a repository for Hidden-utility Self-Play.☆25Updated last year
- Implementation of TWOSOME☆71Updated 4 months ago
- ☆76Updated last year
- ☆15Updated last year
- ☆46Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆155Updated last year
- Overcooked human-AI experiment platform☆37Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- RLA is a tool for managing your RL experiments automatically☆28Updated 4 months ago
- ☆29Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆24Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆86Updated last year
- MATE: the Multi-Agent Tracking Environment.☆44Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆31Updated last year
- ☆14Updated last year
- This project provides a set of translators to convert OpenAI Gym environments into text-based environments. It is designed to investigate…☆17Updated 11 months ago
- A large-scale multi-modal pre-trained model☆131Updated 2 years ago