Objectworld Experiments
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Updated
Oct 30, 2017 - MATLAB
Objectworld Experiments
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Adaboost Inverse Reinforcement Learning
MDP Environments for Inverse Reinforcement Learning
Mirror Descent Inverse Reinforcement Learning
Video Input Generative Adversarial Imitation Learning
Using Inverse Reinforcement Learning for grading of physical (sensorimotor) skills. This framework is a proof-of-concept with a toy problem of navigating in grid-based parking lot
Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning
This repository contains data as well as code for analyzing rationally inattentive commenting behavior in YouTube. The formal theory and model is contained in the paper found at this link: https://www.jmlr.org/papers/volume21/19-872/19-872.pdf
The proceedings of top conference in 2021 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
FASTRL is a a set of benchmark tasks used in surgical training which are adapted to the reinforcement learning setting for the purpose of training agents capable of providing assistance to the surgical trainees. The benchmark is provided with the purpose of exploring the domain of human-centric teaching agents within the learning-to-teach formalism
We have presented CIL method to learn the optimal dynamic treatment regime by exploiting information from both trajectories (positive and negative).
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation and application of graph theory, social network mining, reinforcement learning, and inverse reinforcement learning.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Set Cover Optimal Teaching for Sequential Decision Making with Inverse Reinforcement Learning
Accompanying code of BO-IRL published in Neurips 2020
A Python Implementation of Bayesian Inverse Reinforcement Learning (BIRL)
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