KyleM73

PhD Candidate @ UT Austin. Working on RL + control for safe, friendly, social robots. Previously MIT, NASA JPL, Boston Dynamics AI Institute

UT Austin

Pinned Repositories

613
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AHHH
AHHH: a programming language for the dreadful
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AI-Fellowship-TavTech
Projects from TavTech Fellowship winter 2017
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babys-first-gaussian-process
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babys-first-neural-network
Notes and reference implementation for basic neural networks with no learning libraries
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EnvCreator
class for creating urdf files from occupancy grids. also supports generating A* trajectories with collision constraints
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generative_minimal
a repository for minimal implementations of common generative models
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mrsearch_IG_RL
multi-robot RL search with information gains
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n_body_simulator
N-Body Dynamics Simulator
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terrain-generator
Taka's WFC terrain generator
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KyleM73's Repositories

KyleM73/EnvCreator
class for creating urdf files from occupancy grids. also supports generating A* trajectories with collision constraints
Language:Python2 2 00
KyleM73/babys-first-neural-network
Notes and reference implementation for basic neural networks with no learning libraries
Language:Python10
KyleM73/terrain-generator
Taka's WFC terrain generator
Language:Python10
KyleM73/babys-first-gaussian-process
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KyleM73/Bumpy_IL
IL for Bumpybot
Language:Python0 2 00
KyleM73/cocomas
Competency Conditioned Multi Agent Search
Language:Python0 2 00
KyleM73/cvxopt
Optimization Library
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KyleM73/generative_minimal
a repository for minimal implementations of common generative models
Language:Python0 2 00
KyleM73/ros_onnx
minimal node for performing inference on onnx policies in ros
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KyleM73/dotfiles
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KyleM73/estimators
a repository for minimal implementations of common estimators
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KyleM73/hcrl_isaac_manager
repo to manage repos for running isaac sim orbit environments for robot learning
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KyleM73/hcrl_robots
Repo for models of robots operated by the UT Austin Human Centered Robotics Lab
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KyleM73/isaac.lab.hcrl.old
Repo for HCRL Orbit Environments
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KyleM73/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
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KyleM73/lives_data
Data for LiDAR Informed Visual Search (LIVES) with Learned Scan Classification
2 0
KyleM73/lives_segmentation
LiDAR Informed Visual Search (LIVES) with Learned Scan Classification
Language:Python2 0
KyleM73/marl_ig
multi agent reinforcement learning search with information gain rewards
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KyleM73/optimal_control_notes
notes for optimal control theory
2 0
KyleM73/orbit
Unified framework for robot learning built on NVIDIA Isaac Sim
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KyleM73/PufferLib
Simplifying reinforcement learning for complex game environments
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KyleM73/Reinforcement
Reinforcement Algos
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KyleM73/rl_demo
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KyleM73/rl_games
RL implementations
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KyleM73/rsl_rl
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
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KyleM73/sim2sim
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KyleM73/spot-rl-deployment
Spot RL deployment code
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KyleM73/tip_toe
socially aware locomotion for legged robots
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KyleM73/VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Language:Python1 0
KyleM73/wandb-demo
minimal example to set up wandb
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