PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"
☆49Oct 29, 2021Updated 4 years ago
Alternatives and similar repositories for marl-ae-comm
Users that are interested in marl-ae-comm are comparing it to the libraries listed below
Sorting:
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆21Apr 23, 2024Updated last year
- Source code for paper ''Wireless Point Cloud Transmission'' in SPAWC 2024.☆16May 29, 2025Updated 9 months ago
- MIMEx: Intrinsic Rewards from Masked Input Modeling [NeurIPS 2023]☆16May 17, 2023Updated 2 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
- FireCommander2020: A Multiagent, Interactive Joint Perception-Action Reconnaissance Environment☆17Sep 18, 2022Updated 3 years ago
- ☆46Jun 29, 2021Updated 4 years ago
- ☆52Jul 21, 2022Updated 3 years ago
- Distributed Deep Reinforcement Learning☆30Jan 21, 2021Updated 5 years ago
- ☆13Oct 11, 2022Updated 3 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆14Feb 3, 2023Updated 3 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆57Sep 17, 2020Updated 5 years ago
- ☆14Sep 27, 2019Updated 6 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆42Oct 5, 2022Updated 3 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Mar 16, 2020Updated 5 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
- Emergent Communication of Generalizations, NeurIPS 2021☆13Sep 29, 2021Updated 4 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆47Mar 12, 2024Updated last year
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆116Dec 8, 2022Updated 3 years ago
- ☆18Jul 10, 2022Updated 3 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
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆44Dec 31, 2021Updated 4 years ago
- Deep Implicit Coordination Graphs☆43May 29, 2024Updated last year
- IQL, QMIX, VDN, COMA, QTRAN (QTRAN-Base and QTRAN-Alt), MAVEN, CommNet, DYMA-Cl, G2ANet, and MADDPG☆19Dec 6, 2021Updated 4 years ago
- Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.☆18May 17, 2023Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Jun 11, 2025Updated 8 months ago
- ☆25Aug 6, 2025Updated 7 months ago
- Code for "Context-aware Communication for Multi-agent Reinforcement Learning"☆31Jan 29, 2024Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Dec 8, 2022Updated 3 years ago
- ☆26Apr 26, 2024Updated last year
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆29Jul 25, 2023Updated 2 years ago
- ☆30Aug 8, 2021Updated 4 years ago
- Implements the Messenger environment and EMMA model.☆25Jun 14, 2023Updated 2 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆32Aug 1, 2021Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Sep 26, 2023Updated 2 years ago
- ☆25Feb 21, 2022Updated 4 years ago
- Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023☆30Jul 18, 2023Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆28Nov 27, 2024Updated last year
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆63Dec 12, 2023Updated 2 years ago