anonymous-ICLR22 / Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning
☆11Updated 3 years ago
Alternatives and similar repositories for Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning:
Users that are interested in Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning are comparing it to the libraries listed below
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- ☆12Updated 4 years ago
- ☆16Updated 4 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆13Updated 2 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 2 years ago
- Code for "Learning Structured Communication for Multi-Agent Reinforcement Learning" (ICLR 2020 OpenReview)☆9Updated last year
- ☆12Updated 2 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 2 years ago
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 2 years ago
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆16Updated 9 months ago
- curriculum☆21Updated 2 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Updated 2 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆40Updated 3 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆13Updated 4 years ago
- ☆28Updated 3 years ago
- DecentralizedLearning☆23Updated 2 years ago
- ☆47Updated 3 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆26Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆44Updated 2 months ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 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
- paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation☆10Updated 6 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆20Updated 2 years ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 5 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).☆9Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year