keep9oing / GNN_RL
reinforcement learning with pytorch geometric library
☆45Updated 2 years ago
Related projects: ⓘ
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆68Updated 3 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆34Updated 5 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆65Updated 4 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆26Updated 3 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆24Updated last year
- ☆23Updated 2 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated 11 months ago
- Learning multi-agent policies for flocking using graph neural networks☆66Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆38Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆91Updated 2 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆48Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆36Updated 2 years ago
- qmix☆21Updated 4 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆21Updated 10 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆52Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆40Updated 9 months ago
- Attention based model for learning to solve different routing problems☆36Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated last year
- Deep Implicit Coordination Graphs☆40Updated 3 months ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆21Updated 3 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆13Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆83Updated last year
- Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)☆23Updated last year
- ☆30Updated 3 years ago
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆19Updated 4 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆64Updated 10 months ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆32Updated 3 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆27Updated 11 months ago