hoangminhle

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hierarchical_IL_RL

Code for hierarchical imitation learning and reinforcement learning

hoangminhle.github.io

Hoang Minh Le - PhD in Computing + Mathematical Sciences @ Caltech

MultiAgent-ImitationLearning

Code for training policies based on paper Coordinated Multi-Agent Imitation Learning

New_OPE_experiments

nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

Off-Policy

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

SIMILE

Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016

hoangminhle/hierarchical_IL_RL

Code for hierarchical imitation learning and reinforcement learning

hoangminhle/MultiAgent-ImitationLearning

Code for training policies based on paper Coordinated Multi-Agent Imitation Learning

hoangminhle/SIMILE

Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016

hoangminhle/hoangminhle.github.io

Hoang Minh Le - PhD in Computing + Mathematical Sciences @ Caltech

hoangminhle/nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

hoangminhle/gym

A toolkit for developing and comparing reinforcement learning algorithms.

hoangminhle/New_OPE_experiments

hoangminhle/Off-Policy

hoangminhle/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.