contactrika Goto Github PK
Name: Rika
Type: User
Company: Stanford
Bio: Sim-to-real and real-to-sim with Bayesian optimization, reinforcement learning, variational inference
Location: San Francisco, CA
Rika's Projects
bo-svae-dc
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
bulb
Benchmarking Unsupervised Learning with pyBullet
coinrun
Code for the paper "Quantifying Transfer in Reinforcement Learning"
dedo
Dynamic Environments with Deformable Objects (DEDO)
franka_ros
ROS integration for Franka Emika research robots
gym
Fork of OpenAi Gym with custom environments
iai_kinect2
Tools for using the Kinect One (Kinect v2) in ROS
misc_public
Misc things to share.
openfoam-2.3.x
OpenFOAM Foundation patch version of OpenFOAM-2.3
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-qrnn
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
rlkit
Collection of reinforcement learning algorithms
ssp-bayesopt
Efficient Bayesian Optimization with Spatial Semantic Pointers
torchbeast
A PyTorch Platform for Distributed RL
vel
Velocity in deep-learning research
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