haanvid

DSTC10-SIMMC

Repository (preliminary codes) for DSTC10 SIMMC track.

imitation-dice

kmifqe

Kernel Metric learning for In-sample Fitted Q Evaluation (KMIFQE)

kmis

local kernel metric learning for IS (KMIS) OPE estimation

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

alberdice

Office PyTorch implementation of AlberDICE

BCQ

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

continuous-policy-learning

dice_rl

DJL

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

google-research

Google Research

GPT-Critic

GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems

haanvid.github.io

Personal website

LSPI

LSPI(Least-Squares Policy Iteration) with TF1.5

MC-LAVE-RL

ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"

models

Models built with TensorFlow

Nadaraya-Watson-Regression-Metric

NeuralPipeline_DSTC8

palr

probability

Probabilistic reasoning and statistical analysis in TensorFlow

RepBM

Representation Balancing MDPs for Off-Policy Policy Evaluation

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rllab-colab-tutorial

SBV

slope-experiments

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

SVGD

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

tutorial-git

:blue_book: 어떻게 깃을 사용하는지 빠르게 알아봅시다. (Quick learn How to use Git.)

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation