WonJoon-Yun / Quantum-Multi-Agent-Reinforcement-LearningLinks
Quantum Multi-agent Reinforcement Learning (QMARL)
☆38Updated 3 years ago
Alternatives and similar repositories for Quantum-Multi-Agent-Reinforcement-Learning
Users that are interested in Quantum-Multi-Agent-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)☆38Updated 2 years ago
- A quantum reinforcement learning framework based on PyTorch and PennyLane.☆29Updated last year
- Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.☆65Updated 4 years ago
- Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.☆11Updated 3 years ago
- Implementation of QRL☆31Updated 6 years ago
- GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project☆42Updated last year
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆41Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to a…☆14Updated 3 years ago
- reinforcement learning with pytorch geometric library☆51Updated 4 years ago
- Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm☆77Updated 8 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Federated Deep Reinforcement Learning for Swarm Robotic Systems☆10Updated 3 years ago
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Updated 5 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated 5 months ago
- Implementation for mSAC methods in PyTorch☆42Updated 4 years ago
- ☆23Updated 2 months ago
- Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"☆19Updated last year
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆16Updated 5 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆18Updated 5 years ago
- Multi-objective reinforcement learning for covid-19 control☆12Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- qmix☆23Updated 5 years ago
- ☆20Updated 6 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆36Updated 6 years ago
- Attention based model for learning to solve different routing problems☆42Updated 3 years ago
- [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…☆14Updated 3 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆57Updated 6 years ago