ToruOwO / marl-ae-comm
PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"
☆45Updated 3 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
- ☆48Updated last year
- ☆53Updated last year
- CORRO code☆35Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- The Implementation of "Machine Theory of Mind", ICML 2018☆23Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆34Updated last month
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆73Updated 3 months ago
- Learning to Incentivize Other Learning Agents☆32Updated 2 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated last year
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 4 years ago
- ☆43Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆53Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆17Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- An open source benchmark for Multi Agent Reinforcement Learning☆29Updated last year
- ☆93Updated 4 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆57Updated 2 years ago
- ☆14Updated 5 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago