-
qrl-dqn-gym Public
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
-
quantum-orthogonal-nn Public
JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
-
gym Public
Forked from openai/gymA toolkit for developing and comparing reinforcement learning algorithms.
Python Other UpdatedJul 26, 2021 -
adaptive-policy-iteration Public
JAX implementation of Adaptive Approximate Policy Iteration (Hao et al., 2021)
-
randomized-value-iteration Public
JAX implementation of Generalization and Exploration via Randomized Value Functions (Osband et al., 2016)
-
quantum-nearest-classifier Public
Cirq implementation of Nearest Centroid Classification on a Trapped Ion Quantum Computer (Johri et al., 2020)
-
quantum-arch-search Public
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
-
qml-qcnn Public
Python implementation of Quantum Algorithms for Deep Convolutional Neural Networks (Kerenidis, Landman and Prakash, 2019)
-
rl-lspi Public
Gym implementation of Least-Squares Policy Iteration (Lagoudakis & Parr, 2003)