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Vinicius G. Goecks's Projects

complete_col icon complete_col

Teach a learning agent in real-time using human interaction and reinforcement learning to complete different tasks.

fastmot icon fastmot

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

kairos_minerl_basalt icon kairos_minerl_basalt

Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL BASALT Challenge.

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

oyster icon oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_dvib icon pytorch_dvib

Deep Variational Information Bottleneck (DVIB) in PyTorch.

rllab icon rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

sysid_l2fly icon sysid_l2fly

System Identification, Modeling, and Control of Linear and Nonlinear Systems

tamu_ecen689 icon tamu_ecen689

TAMU ECEN 689 - Hierarchical Reinforcement Learning project

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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