Alternatives and similar repositories for quantum_agents

Users that are interested in quantum_agents are comparing it to the libraries listed below

• qlan3 / QuantumExplorer
  A quantum reinforcement learning framework based on PyTorch and PennyLane.
  ☆29Updated last year
• 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)
  ☆38Updated 2 years ago
• WonJoon-Yun / Quantum-Multi-Agent-Reinforcement-Learning
  Quantum Multi-agent Reinforcement Learning (QMARL)
  ☆41Updated 3 years ago
• ycchen1989 / Var-QuantumCircuits-DeepRL
  Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
  ☆68Updated 4 years ago
• qdevpsi3 / quantum-arch-search
  Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
  ☆42Updated 4 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆19Updated last year
• Macro206 / qubit-routing-with-rl
  Qubit Routing using Reinforcement Learning
  ☆29Updated 2 years ago
• LauraGentini / QRL
  GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project
  ☆44Updated last year
• Lucky-Lance / QAS-Bench
  [ICML 2023] QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
  ☆11Updated last year
• LeaMarion / quantum-enhanceable-deep-rl
  ☆14Updated 4 years ago
• milesgep / Quantum-Reinforcement-Learning
  Implementation of QRL
  ☆32Updated 6 years ago
• yanhuchen / Quantum-Graph-Convolutional-Network
  ☆15Updated 3 years ago
• amazon-science / co-with-gnns-example
  ☆161Updated last year
• mostaszewski314 / RL_for_optimization_of_VQE_circuit_architectures
  ☆25Updated 4 years ago
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆72Updated last year
• yuxuan-du / Quantum_architecture_search
  ☆46Updated 4 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.
  ☆18Updated 3 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…
  ☆32Updated 6 years ago
• BeloborodovDS / SIMCIM-RL
  Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
  ☆15Updated 5 years ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆69Updated 2 years ago
• rdisipio / qtransformer
  Quantum-enhanced transformer neural network
  ☆127Updated 3 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆19Updated 3 years ago
• rsln-s / IEEE_QW_2020
  Materials for the tutorial "Combinatorial Optimization on Quantum Computers"
  ☆25Updated 5 years ago
• ZJLAB-AMMI / LLM4Teach
  Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
  ☆52Updated last year
• JonasLandman / QCNN
  quantum convolutional neural network - simulations
  ☆122Updated 6 years ago
• sophchoe / Binary_Classification_Pennylane_Keras
  Classical-Quantum hybrid model for credit card fraud detection
  ☆21Updated 3 years ago
• Evolutionary-Intelligence / dpop7
  A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
  ☆18Updated last year
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆20Updated 5 years ago
• theodoradragan / QuantumAutoencoder
  Implementing https://arxiv.org/abs/1612.02806
  ☆13Updated 4 years ago
• p-casgrain / Nash-DQN
  Deep Reinforcement Learning for Nash Equilibria
  ☆47Updated 3 years ago