PhD student in Machine Learning and Robotics.
loco-mujoco. Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
1.4kls-iq. Code of the paper "LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning" & LocoMuJoCo Baselines
63s2pg. Code of the Paper "Time-Efficient Reinforcement Learning with Stochastic Stateful Policies"
25Tutorial_Bayesian_Optimization_for_optimal_Learning_Rate. Hands-on tutorial on Bayesian optimization for learning rate optimization on the K-MNIST dataset using PyTorch.
6PandaAgents_RLBench. A set of reinforcement learning and evolution strategy agents for the task of robot manipulation
6mushroom-rl. Python library for Reinforcement Learning.
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