ICML 2019 Workshop RL4RealLife Submissions

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Reward Signals
Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
Neural-Attentional Architectures for Deep Multi-Agent Reinforcement Learning in Varying Environments
Matthew A. Wright, Roberto Horowitz
- 07 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Reinforcement Learning for Blood Glucose Control: Challenges and Opportunities
Ian Fox, Jenna Wiens
- 06 May 2019 (modified: 05 May 2023)
- RL4RealLife 2019
- Readers: Everyone
Addressing Sample Complexity in Visual Tasks Using Hindsight Experience Replay and Hallucinatory GANs
Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Anna Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye
- 06 May 2019 (modified: 22 Oct 2023)
- RL4RealLife 2019
- Readers: Everyone
Crowdsourcing Reinforcement Learning to Optimize Knee Replacement Pathway
Hao Lu, Mengdi Wang
- 06 May 2019 (modified: 13 Jul 2022)
- RL4RealLife 2019
- Readers: Everyone
Reinforcement Learning for Sepsis Treatment: Baselines and Analysis
Aniruddh Raghu
- 06 May 2019 (modified: 05 May 2023)
- RL4RealLife 2019
- Readers: Everyone
Learning to Cope with Adversarial Attacks
Xian Yeow Lee, Aaron Havens, Girish Chowdhary, Soumik Sarkar
- 06 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Neural Heterogeneous Scheduler
Tegg Taekyong Sung, Valliappa Chockalingam, Alex Yahja, Bo Ryu
- 05 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh
- Published: 28 May 2019, Last Modified: 22 Oct 2023
- RL4RealLife 2019
- Readers: Everyone
P3O: Policy-on Policy-off Policy Optimization
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
- 05 May 2019 (modified: 22 Oct 2023)
- RL4RealLife 2019
- Readers: Everyone
Learning State Switching for Improved Exploration in Multi-sensor Environments
Homagni Saha, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
- 05 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Off-Policy Evaluation of Generalization for Deep Q-Learning in BinaryReward Tasks
Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine
- 05 May 2019 (modified: 05 May 2023)
- RL4RealLife 2019
- Readers: Everyone
Simulation-based reinforcement learning for autonomous driving
Christopher Galias, Adam Jakubowski, Henryk Michalewski, Błażej Osiński, Paweł Zięcina
- 05 May 2019 (modified: 13 Jul 2022)
- Submitted to RL4RealLife 2019
- Readers: Everyone
A Spectral Method for Off-Policy Evaluation in Contextual Bandits under Distribution Shift
Furong Huang, Yu-Xiang Wang, Xuchen You
- 05 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Optimizing 3D structure of H2O molecule using DDPG
Soo Kyung Kim, Peggy Li, Joanne Taery Kim, Piyush Karande, Yong Han
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
Seeking for Robustness in Reinforcement Learning: Application on Carla Simulator
Yesmina Jaafra, Jean Luc Laurent, Aline Deruyver, Mohamed Saber Naceur
- 05 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Distributionally Robust Reinforcement Learning
Elena Smirnova, Elvis Dohmatob, Jérémie Mary
- Published: 28 May 2019, Last Modified: 22 Oct 2023
- RL4RealLife 2019
- Readers: Everyone
Multinomial Logit Contextual Bandits
Min-hwan Oh, Garud Iyengar
- 05 May 2019 (modified: 05 May 2023)
- RL4RealLife 2019
- Readers: Everyone
Improving the Generalization of Visual Navigation Policies using Invariance Regularization
Michel Aractingi, Christopher Dance, Julien Perez, Tomi Silander
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang, Michael Everett, Jonathan P. How
- Published: 28 May 2019, Last Modified: 22 Oct 2023
- RL4RealLife 2019
- Readers: Everyone
Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas, Peng Wei
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
DualDICE: Efficient Estimation of Off-Policy Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
René Traoré*, Hugo Caselles-Dupré*, Timothée Lesort*, Te Sun, Natalia Diaz-Rodriguez, David Filliat
- 05 May 2019 (modified: 05 May 2023)
- Submitted to RL4RealLife 2019
- Readers: Everyone
Off-Policy Policy Gradient with State Distribution Correction
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
- Published: 28 May 2019, Last Modified: 05 May 2023
- RL4RealLife 2019
- Readers: Everyone