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EPFL
- Lausanne
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CIRL_Experiments
CIRL_Experiments PublicExperiments for my master project "Convergence and Sample Complexity of Constrained Inverse Reinforcement Learning". Implements RL, IRL and CIRL using policy gradient methods, code written in pytho…
Jupyter Notebook
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CTNN_Policies_DERL
CTNN_Policies_DERL PublicForked from mknbv/neuralode-rl
Experiments for my semester project @biorob : Learning Motor Policies with Continuous Time Neural Networks
Jupyter Notebook 1
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AnMod_Neuro
AnMod_Neuro PublicFeature extraction of EMG and motion capture data to identify spinal chord damage in rats, humans and monkeys
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HUD_2022
HUD_2022 PublicLes transports lausannois en 1900 et leur lien avec le développement urbain et démographique (feat. Jean Jacques Mercier 3).
Jupyter Notebook
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EpidemicsSimulator
EpidemicsSimulator PublicEpidemic dynamics simulation to model epidemic behavior and train RL agents for a mitigation task.
Jupyter Notebook
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DRRN_miniworld
DRRN_miniworld PublicReinforcement learning agent that uses deep cognitive mapping and visual priors to learn a visual navigation task.
Python
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