Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
☆23Nov 22, 2025Updated 4 months ago
Alternatives and similar repositories for AORPO
Users that are interested in AORPO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".☆65Apr 8, 2025Updated 11 months ago
- ☆13Oct 11, 2022Updated 3 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
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆42Oct 5, 2022Updated 3 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆32Nov 22, 2025Updated 4 months ago
- Advanced_Data_Integration_Project☆11Jul 31, 2018Updated 7 years ago
- This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. P…☆55Nov 22, 2025Updated 4 months ago
- DecentralizedLearning☆25Dec 8, 2022Updated 3 years ago
- multi-agent reinforcement learning for competitive environments using pytorch☆14Dec 31, 2019Updated 6 years ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆25Aug 4, 2022Updated 3 years ago
- Code repository for "N-agent Ad Hoc Teamwork" paper (Wang et al., Neurips 2024).☆26Oct 2, 2025Updated 5 months ago
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Dec 8, 2022Updated 3 years ago
- Code to reproduce experiments from:☆10Dec 11, 2020Updated 5 years ago
- ☆17Mar 13, 2021Updated 5 years ago
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation☆12Dec 28, 2019Updated 6 years ago
- DreamSmooth: Improving Model-Based RL with Reward Smoothing (ICLR 2024)☆12May 6, 2024Updated last year
- Demonstrating the usage of FGYM: A Toolkit for benchmarking FPGA-accelerated Reinforcement Learning☆13Aug 12, 2021Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆74Nov 4, 2024Updated last year
- Latent Dynamics Mixture, NeurIPS 2021☆18Oct 25, 2022Updated 3 years ago
- For managing 2P imaging datasets from preprocessing to activity trace extraction☆10Apr 12, 2019Updated 6 years ago
- ☆17Sep 28, 2023Updated 2 years ago
- A PyTorch Lightning template to try out a wide range of ideas on the Ubiquant Market Prediction competition without modifying any code!☆12Mar 24, 2022Updated 4 years ago
- FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation☆14Dec 13, 2024Updated last year
- ☆12Jul 6, 2024Updated last year
- ☆15Oct 8, 2024Updated last year
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Oct 6, 2022Updated 3 years ago
- The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Rein…☆16Jan 24, 2025Updated last year
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Mar 24, 2023Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆187Apr 12, 2022Updated 3 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Aug 21, 2018Updated 7 years ago
- Implementation of CASCADE in Learning General World Models in a Handful of Reward-Free Deployments (NeurIPS 22).☆29Oct 25, 2022Updated 3 years ago
- multi-agent formation control environment implemented with MPE.☆15May 23, 2022Updated 3 years ago
- The official implementation of the paper "Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork".☆12Feb 27, 2024Updated 2 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Mar 9, 2021Updated 5 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- Code for Scene Graph Generation with External Knowledge and Image Reconstruction☆25Dec 1, 2019Updated 6 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
- Code for GLAT (Global Local Transformer), ECCV 2020 "Learning Visual Commonsense for Robust Scene Graph Generation"☆11Dec 16, 2020Updated 5 years ago