Code and Experiments for L4DC 2021 Paper: "Learning Visually Guided Latent Actions for Assistive Teleoperation"
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
Code for the paper 'Learning from Imperfect Demonstrations from Agents with Varying Dynamics'
Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
2D Driving Simulator
Framework for learning dialogue agents in a two-player game setting.
Winter2020 CS237B Homework 2
Winter 2020 CS237B Homework 1
A toolkit for developing and comparing reinforcement learning algorithms.
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Multi agent Reinforcement learning setting
running fetch from openrave
OpenRAVE bindings for OMPL motion planning algorithms.
OpenRAVE plugin for loading URDF and SRDF files.