Stars
A collection of research works about causal inference for recommender systems, including papers and code.
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Honor of Kings AI Open Environment of Tencent
Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
zoeyuchao / mappo
Forked from marlbenchmark/on-policyThis is the official implementation of Multi-Agent PPO.
Image augmentation library in Python for machine learning.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Syst…
Few-shot Natural Language Generation for Task-Oriented Dialog
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
User Simulation for Task-Completion Dialogues
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"
Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is a…
Must-read papers on graph neural networks (GNN)
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for Atari games, which can learn to play Atari games automatically…
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Collection of reinforcement learning algorithms
Basic versions of agents from Spinning Up in Deep RL written in PyTorch