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)☆37Updated 2 years ago
- Quantum Multi-agent Reinforcement Learning (QMARL)☆37Updated 3 years ago
- Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.☆64Updated 4 years ago
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆41Updated 4 years ago
- Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.☆11Updated 3 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆14Updated 5 years ago
- Graph convolutional memory for reinforcement learning☆23Updated 4 years ago
- Reinforcement learning for combinatorial optimization over directed graphs☆40Updated 2 years ago
- reinforcement learning with pytorch geometric library☆49Updated 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
- GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project☆40Updated last year
- Implementation of QRL☆31Updated 6 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆137Updated 3 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆50Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆80Updated last year
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 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
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆48Updated last year
- A library for mean-field games.☆53Updated last week
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆26Updated 9 months ago
- ☆31Updated 4 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆83Updated last year
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- ☆157Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆44Updated 4 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆72Updated 2 years ago