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Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
Python 81 26
Supporting code for "End-to-end optical backpropagation for training neural networks".
Python 57 15
🌺 Population-Based Reinforcement Learning for Combinatorial Optimization
Python 87 16
Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
Python 44 11
Learning disentangled representations of dynamical environments.
Jupyter Notebook 4 1
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
Python 13 1
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