Top-RL-papers-from-ICLR-2020

This repository contains the top 10 papers on reinforcement learning published in ICLR-2020.

Index	Paper title	PDF	GitHub link	Other resources
1	Graph Convolutional Reinforcement Learning	https://openreview.net/pdf?id=HkxdQkSYDB	https://github.com/PKU-AI-Edge/DGN	-
2	Measuring the Reliability of Reinforcement Learning Algorithms	https://openreview.net/pdf?id=SJlpYJBKvH	https://github.com/google-research/rl-reliability-metrics	-
3	Behaviour Suite for Reinforcement Learning	https://openreview.net/pdf?id=rygf-kSYwH	https://github.com/deepmind/bsuite	https://colab.research.google.com/drive/1RYWJaMEHVeN8yI83QtL35GOSFQBRgLaX
4	The Ingredients of Real World Robotic Reinforcement Learning	https://arxiv.org/abs/2004.12570	-	https://sites.google.com/view/realworld-rl
5	Network Randomisation: A Simple Technique for Generalisation in Deep Reinforcement Learning	https://openreview.net/pdf?id=HJgcvJBFvB	https://github.com/pokaxpoka/netrand	https://anonymous.4open.science/r/5f39ebf9-d0be-45f1-940c-f2b840b57b51/
6	On the Weaknesses of Reinforcement Learning for Neural Machine Translation	https://openreview.net/pdf?id=H1eCw3EKvH	-	-
7	Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation	https://openreview.net/pdf?id=HygnDhEtvr	https://github.com/hugochan/RL-based-Graph2Seq-for-NQG	-
8	Adversarial Policies: Attacking Deep Reinforcement Learning	https://openreview.net/pdf?id=HJgEMpVFwB	https://github.com/HumanCompatibleAI/adversarial-policies	https://adversarialpolicies.github.io/
9	Causal Discovery with Reinforcement Learning	https://openreview.net/pdf?id=S1g2skStPB	https://github.com/huawei-noah/trustworthyAI/tree/master/Causal_Structure_Learning/Causal_Discovery_RL	-
10	Model-Based Reinforcement Learning for Atari	https://openreview.net/pdf?id=S1xCPJHtDB	https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/rl	-

Source: https://analyticsindiamag.com/top-10-reinforcement-learning-papers-from-iclr-2020/