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

• qdevpsi3 / qrl-dqn-gym
  PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
  ☆36Updated 2 years ago
• qlan3 / QuantumExplorer
  A quantum reinforcement learning framework based on PyTorch and PennyLane.
  ☆26Updated last year
• ycchen1989 / Var-QuantumCircuits-DeepRL
  Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
  ☆60Updated 3 years ago
• qdevpsi3 / quantum-arch-search
  Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
  ☆39Updated 3 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆19Updated 10 months ago
• LeaMarion / quantum-enhanceable-deep-rl
  ☆12Updated 4 years ago
• LauraGentini / QRL
  GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project
  ☆36Updated 10 months ago
• milesgep / Quantum-Reinforcement-Learning
  Implementation of QRL
  ☆29Updated 5 years ago
• qubit-science-club / quantum_reinforcement_learning
  Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.
  ☆17Updated 2 years ago
• sajen-k / Quantum_Graph_Recurrent_Neural_Network
  Implementation of Quantum Graph Recurrent Neural Network (QGRNN)
  ☆17Updated 3 years ago
• sophchoe / Binary_Classification_Pennylane_Keras
  Classical-Quantum hybrid model for credit card fraud detection
  ☆21Updated 3 years ago
• mlvqc / Byskit
  Bayesian Qiskit
  ☆10Updated 4 years ago
• viventriglia / Quantum_Neural_Network_QNN
  Does adding quantum features improve the overall performance of a neural network?
  ☆13Updated 3 years ago
• BY571 / D4PG
  PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…
  ☆22Updated 3 years ago
• mostaszewski314 / RL_for_optimization_of_VQE_circuit_architectures
  ☆21Updated 3 years ago
• stefan-woerner / cvar_quantum_optimization
  Supporting material for https://arxiv.org/abs/1907.04769
  ☆9Updated 3 years ago
• BeloborodovDS / SIMCIM-RL
  Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
  ☆14Updated 5 years ago
• liyiying / meta-MADDPG
  meta-MADDPG (Python implementation)
  ☆18Updated 6 years ago
• calumholker / quantum-portfolio-optimisation
  Using qGANs for Quantum Portfolio Optimisation
  ☆22Updated 4 years ago
• sjerbi / Quantum-Reinforcement-Learning
  Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at T…
  ☆30Updated 6 years ago
• rdisipio / qlstm
  Example of a Quantum LSTM
  ☆93Updated 3 years ago
• alejomonbar / Quantum-Supply-Chain-Manager
  The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product […
  ☆25Updated 2 years ago
• rdisipio / qtransformer
  Quantum-enhanced transformer neural network
  ☆116Updated 2 years ago
• yuxuan-du / Quantum_architecture_search
  ☆39Updated 3 years ago
• enchanted123 / quantum-RL-with-quafu
  Implement reinforcement learning(RL) based on parameterized quantum circuits with quantum computing cloud Quafu.
  ☆10Updated last year
• hsim13372 / QCompress
  A Python framework for the quantum autoencoder
  ☆27Updated 6 years ago
• SashwatAnagolum / DoNew
  Repository for storing quantum computing algorithms.
  ☆62Updated 4 years ago
• Macro206 / qubit-routing-with-rl
  Qubit Routing using Reinforcement Learning
  ☆23Updated 2 years ago
• amyami187 / effective_dimension
  The power of quantum neural networks
  ☆53Updated 3 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago