Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]
Prerequisites:
Python3
Matplotlib
Numpy
Itertools
cvxpy
Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]
Overview
codes for IKM (arXiv2021, Submitted to IEEE Trans)
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Quantized models with python
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Using LSTM write Tang poetry
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GNEE - GAT Neural Event Embeddings
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A foreign language learning aid using a neural network to predict probability of translating foreign words
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Sharpness-Aware Minimization for Efficiently Improving Generalization
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The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
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Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
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