qlan3 / QuantumExplorerLinks
A quantum reinforcement learning framework based on PyTorch and PennyLane.
☆29Updated last year
Alternatives and similar repositories for QuantumExplorer
Users that are interested in QuantumExplorer 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
- Quantum Multi-agent Reinforcement Learning (QMARL)☆42Updated 3 years ago
- Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.☆12Updated 4 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆15Updated 5 years ago
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆43Updated 4 years ago
- ☆16Updated 3 years ago
- Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.☆69Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- Reinforcement learning for combinatorial optimization over directed graphs☆43Updated 2 years ago
- Reinforcement Learning Environments for Sustainable Energy Systems☆61Updated 5 months ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆51Updated 2 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆50Updated last year
- Graph convolutional memory for reinforcement learning☆24Updated 4 years ago
- Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.☆19Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project☆45Updated last year
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆16Updated 3 years ago
- A library for mean-field games.☆59Updated last week
- Implementation of QRL☆32Updated 6 years ago
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆28Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Public code for implementation and experiments with differentiable decision trees.☆32Updated last year
- ☆35Updated 5 years ago
- Efficient Exploration through Bayesian Deep-Q Networks.☆19Updated 3 years ago
- Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…☆35Updated 4 years ago
- [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…☆15Updated 4 years ago