proroklab / adversarial_commsLinks
☆31Updated 4 years ago
Alternatives and similar repositories for adversarial_comms
Users that are interested in adversarial_comms are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated last month
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆31Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- DecentralizedLearning☆25Updated 2 years ago
- The official code base of Shared Experience Actor-Critic (NeurIPS2020)☆41Updated last year
- The Starcraft Multi-Agent challenge lite☆41Updated last year
- Deep Implicit Coordination Graphs☆43Updated last year
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 3 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- ☆78Updated last year
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…☆35Updated 4 years ago
- ☆42Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated last year
- ☆20Updated 4 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆62Updated last year
- ☆49Updated 4 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆14Updated last year
- ☆23Updated last year
- A collection of recent MARL papers☆98Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Updated 3 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆22Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆42Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- ☆17Updated last year
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆36Updated 6 years ago