keep9oing / GNN_RLLinks
reinforcement learning with pytorch geometric library
☆50Updated 3 years ago
Alternatives and similar repositories for GNN_RL
Users that are interested in GNN_RL are comparing it to the libraries listed below
Sorting:
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆79Updated 4 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- ☆25Updated 3 years ago
- Attention based model for learning to solve different routing problems☆42Updated 3 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Learning multi-agent policies for flocking using graph neural networks☆79Updated 2 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆35Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆101Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆34Updated last year
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆42Updated 3 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆36Updated 5 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆48Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Extending rllab to event-driven multiagent environments☆15Updated 6 years ago
- A survey on machine learning for combinatorial optimization.☆13Updated 3 years ago
- ☆31Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated 2 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 3 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated 2 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆16Updated 5 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆64Updated 4 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- Public version of the decentralized, attention-based mTSP code☆36Updated 3 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆22Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 5 months ago