QiXuanWang LearningFromTheBest issues

QiXuanWang / LearningFromTheBest

This project is to list the best books, courses, tutorial, methods on learning certain knowledge

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GENERALIZING HAMILTONIAN MONTE CARLO WITH NEURAL NETWORKS By: Daniel Levy et, al.

#57 QiXuanWang opened 2 years ago
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Transformers Can Do Bayesian Inference By:

#56 QiXuanWang opened 2 years ago
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A Graph Placement Methodology For Fast Chip Design. By: Azalia Mirhoseini et.all Google

#55 QiXuanWang opened 2 years ago
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Delving into Macro Placement with Reinforcement Learning By: Zixuan Jiang, et. Google

#54 QiXuanWang opened 2 years ago
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Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms By: Kaiqing Zhang, Zhuoran Yang, Tamer Başar

#53 QiXuanWang opened 3 years ago
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Deep Reinforcement Learning for Navigation in AAA Video Games By: Eloi Alonso

#52 QiXuanWang opened 3 years ago
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An Overview of Multi-Task Learning in Deep Neural Networks By: Sebastian Ruder

#51 QiXuanWang opened 3 years ago
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Fourier Neural Operator for Parametric Partial Differential Equations By: Zongyi Li, et,all.

#50 QiXuanWang opened 4 years ago
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Chip Design with Deep Reinforcement Learning By: Google (Azalia Mirhoseini etc. Jeff Dean)

#49 QiXuanWang opened 4 years ago
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ADVANTAGE-WEIGHTED REGRESSION: SIMPLE AND SCALABLE OFF-POLICY REINFORCEMENT LEARNING

#48 QiXuanWang opened 4 years ago
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Sample-Efficient Automated Deep Reinforcement Learning By: Jörg K.H. Franke

#47 QiXuanWang opened 4 years ago
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Traffic prediction with advanced Graph Neural Networks By: DeepMind

#46 QiXuanWang opened 4 years ago
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Problems Caused by Categorizing Continuous Variables By: Frank E Harrell

#45 QiXuanWang opened 4 years ago
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Discovering Reinforcement Learning Algorithms By: Junhyuk Oh, Matteo Hessel, et,al, David Silver

#44 QiXuanWang opened 4 years ago
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Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems By: UCB and Google Brain

#43 QiXuanWang opened 4 years ago
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Towards Interpretable Reinforcement Learning Using Attention Augmented Agents By: Alex Mott, Daniel Zoran, Mike Chrzanowski

#42 QiXuanWang opened 4 years ago
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BADGR: The Berkeley Autonomous Driving Ground Robot By: Greg Kahn, Pieter Abbeel, Sergey Levine

#41 QiXuanWang opened 4 years ago
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Reinforcement Learning in Economics and Finance By: Arthur Charpentier

#40 QiXuanWang opened 4 years ago
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Introducing Dreamer: Scalable Reinforcement Learning Using World Models By: Danijar Hafner et. al

#39 QiXuanWang opened 4 years ago
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model By: DeepMind

#38 QiXuanWang opened 4 years ago
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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch By: Esteban Real * 1 Chen Liang * 1 David R. So 1 Quoc V. Le 1

#37 QiXuanWang opened 4 years ago
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Goal-conditioned Imitation Learning By: Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel

#36 QiXuanWang opened 4 years ago
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GCN, GAT and GraphSAGE

#35 QiXuanWang opened 4 years ago
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Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP

#34 QiXuanWang opened 4 years ago
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Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search By: Zhuwen Li, Qifeng Chen, Vladlen Koltun

#33 QiXuanWang opened 4 years ago
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A Comprehensive Survey on Graph Neural Networks By: Zonghan Wu, Shirui Pan, +3 authors Philip S. Yu

#32 QiXuanWang opened 4 years ago
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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

#31 QiXuanWang opened 4 years ago
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Hindsight Experience Replay By: Marcin Andrychowicz, Dwight Crow, +7 authors Wojciech Zaremba

#30 QiXuanWang opened 4 years ago
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Prioritized Sequence Experience Replay By: Marc Brittain * 1 Josh Bertram * 1 Xuxi Yang * 1 Peng Wei

#29 QiXuanWang opened 4 years ago
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Asynchronous Methods for Model-Based Reinforcement Learning By: Yunzhi Zhang, Ignasi Clavera, +1 author Pieter Abbeel

#28 QiXuanWang opened 4 years ago
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Model-based hierarchical reinforcement learning and human action control By:Matthew M Botvinick, Ari Weinstein

#27 QiXuanWang opened 4 years ago
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Continuous control with deep reinforcement learning By: Timothy P. Lillicrap, ... David Silver

#26 QiXuanWang opened 4 years ago
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Addressing Function Approximation Error in Actor-Critic Methods By: Scott Fujimoto, Herke van Hoof, David Meger

#25 QiXuanWang opened 4 years ago
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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor By: Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine

#24 QiXuanWang opened 4 years ago
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Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees By: Yuping Luo, Huazhe Xu, et,al

#23 QiXuanWang opened 4 years ago
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Structured agents for physical construction By: Victor Bapst, Alvaro Sanchez-Gonzalez, et.al

#22 QiXuanWang opened 4 years ago
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Dopamine and temporal difference learning: A fruitful relationship between neuroscience and AI By: Will Dabney, Zeb Kurth-Nelson

#21 QiXuanWang opened 4 years ago
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Learning to Perform Local Rewriting for Combinatorial Optimization By: Xinyun Chen, Yuandong Tian

#20 QiXuanWang opened 4 years ago
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Attention, Learn to Solve Routing Problems! By: Wouter Kool w.w.m.kool@uva.nl , Herke van Hoof, Max Welling

#19 QiXuanWang opened 4 years ago
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A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem By: Zhihao Xing xingzhihao@sjtu.edu.cn , Shikui Tu

#18 QiXuanWang opened 4 years ago
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A Distributional Perspective on Reinforcement Learning By：Marc G. Bellemare Will Dabney *Remi Munos

#17 QiXuanWang opened 4 years ago
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TARGETED SAMPLING OF ENLARGED NEIGHBORHOODVIAMONTECARLO TREE SEARCH FOR TSP By: Zhang-Hua Fu, Kai-Bin Qiu, Meng Qiu, Hongyuan Zha

#16 QiXuanWang opened 4 years ago
1
Model Based Reinforcement Learning for Atari By: Łukasz Kaiser, Mohammad Babaeizadeh, ..., Henryk Michalewski

#15 QiXuanWang opened 4 years ago
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Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial) By: Tamara Broderick(MIT)

#14 QiXuanWang opened 4 years ago
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The Promise of Hierarchical Reinforcement Learning By: Yannis Flet-Berliac

#13 QiXuanWang opened 4 years ago
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Data-Efficient Hierarchical Reinforcement Learning By: Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine

#12 QiXuanWang opened 4 years ago
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model By: Julian Schrittwieser, Ioannis Antonoglou,David Silver

#11 QiXuanWang opened 4 years ago
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MAKING SENSE OF REINFORCEMENT LEARNING AND PROBABILISTIC INFERENCE By: Anoymous

#10 QiXuanWang opened 4 years ago
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When to Trust Your Model: Model-Based Policy Optimization By: Michael Janner Justin Fu Marvin Zhang Sergey Levine

#9 QiXuanWang opened 4 years ago
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Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review By: Sergey Levine

#8 QiXuanWang opened 4 years ago
1