Stars
A package to train neural networks to perform various motor tasks
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
Multisensory decision-making using probabilistic population code
code for research of dynamics and probabilistic inference
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
Implementation of "Towards Understanding Mixture of Experts in Deep Learning", NeurIPS 2022
Fuzzy Logic and Fuzzy Inference for Python 3
Mastering Diverse Domains through World Models
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
A collection of robotics simulation environments for reinforcement learning
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Multi-Joint dynamics with Contact. A general purpose physics simulator.
List of competitions related to Reinforcement Learning
PySensors is a Python package for sparse sensor placement
Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots (IEEE Trans. Cybern. 2018)
My solution to the Unity Obstacle Tower Challenge
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
CS234 Reinforcement Learning: Keras implementation of Recurrent Deterministic Policy Gradient (https://arxiv.org/abs/1512.04455)
The course website for 'Optimal Control for Robotics', which I taught at Tufts University in Spring 2018
On the Variance of the Adaptive Learning Rate and Beyond