A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
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Updated
Nov 11, 2024 - Python
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
Learning human driver models from NGSIM data with imitation learning.
Iterative LQG for a couple of MuJoCo models
This is the Reasoning and Learning Lab participation to The Conversational Intelligence Challenge - NIPS 2017 Live Competition (http://convai.io/)
Reinforcement learning algorithms for Oregon State University's bipedal robot, Cassie
Angular Dashboard to edit neural networks, launch supervised/rl experiments and track them.
Reinforcement learning analysis using Python, OpenAI Gym and rllab.
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