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Poster
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Tue 7:00 |
Evaluating the Performance of Reinforcement Learning Algorithms Scott Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip Thomas |
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Poster
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Tue 7:00 |
Private Reinforcement Learning with PAC and Regret Guarantees Giuseppe Vietri, Borja de Balle Pigem, Akshay Krishnamurthy, Steven Wu |
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Poster
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Tue 7:00 |
Optimizing for the Future in Non-Stationary MDPs Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip Thomas |
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Poster
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Tue 7:00 |
Asynchronous Coagent Networks James Kostas, Chris Nota, Philip Thomas |
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Poster
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Tue 8:00 |
Batch Reinforcement Learning with Hyperparameter Gradients Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim |
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Poster
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Tue 8:00 |
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake |
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Poster
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Tue 8:00 |
Representations for Stable Off-Policy Reinforcement Learning Dibya Ghosh, Marc Bellemare |
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Poster
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Tue 8:00 |
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit, Ron Meir, Kamil Ciosek |
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Poster
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Tue 9:00 |
Lookahead-Bounded Q-learning Ibrahim El Shar, Daniel Jiang |
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Poster
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Tue 9:00 |
Tightening Exploration in Upper Confidence Reinforcement Learning Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
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Poster
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Tue 9:00 |
Structured Policy Iteration for Linear Quadratic Regulator Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao |
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Poster
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Tue 10:00 |
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar |
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Poster
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Tue 10:00 |
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White |
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Poster
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Tue 10:00 |
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Jerry Zhu, Adish Singla |
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Poster
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Tue 11:00 |
Domain Adaptive Imitation Learning Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon |
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Poster
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Tue 12:00 |
Multi-step Greedy Reinforcement Learning Algorithms Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh |
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Poster
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Tue 12:00 |
Learning Portable Representations for High-Level Planning Steve James, Benjamin Rosman, George Konidaris |
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Poster
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Tue 13:00 |
Sequential Transfer in Reinforcement Learning with a Generative Model Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli |
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Poster
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Tue 15:00 |
Invariant Causal Prediction for Block MDPs Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup |
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Poster
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Wed 5:00 |
What can I do here? A Theory of Affordances in Reinforcement Learning Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Dave Abel, Doina Precup |
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Poster
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Wed 8:00 |
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael Jordan |
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Poster
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Wed 8:00 |
Identifying the Reward Function by Anchor Actions Sinong Geng, Houssam Nassif, Charlie Manzanares, Max Reppen, Ronnie Sircar |
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Poster
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Wed 9:00 |
Accountable Off-Policy Evaluation With Kernel Bellman Statistics Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu |
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Poster
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Wed 9:00 |
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin Feigelis, Daniel Yamins |
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Poster
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Wed 11:00 |
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation Pan Xu, Quanquan Gu |
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Poster
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Wed 11:00 |
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar, Ronen Talmon, Ron Meir |
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Poster
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Wed 12:00 |
No-Regret Exploration in Goal-Oriented Reinforcement Learning Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric |
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Poster
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Wed 12:00 |
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez |
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Poster
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Wed 12:00 |
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation Marc Abeille, Alessandro Lazaric |
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Poster
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Wed 14:00 |
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli |
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Poster
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Wed 16:00 |
Safe Reinforcement Learning in Constrained Markov Decision Processes Akifumi Wachi, Yanan Sui |
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Poster
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Thu 6:00 |
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients Ashley Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski |
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Poster
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Thu 6:00 |
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija, Philip Amortila, Joelle Pineau |
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Poster
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Thu 6:00 |
Reducing Sampling Error in Batch Temporal Difference Learning Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone |
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Poster
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Thu 7:00 |
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang, Zhuoran Yang, Zhaoran Wang |
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Poster
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Thu 7:00 |
ConQUR: Mitigating Delusional Bias in Deep Q-Learning DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier |
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Poster
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Thu 8:00 |
Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White |
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Poster
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Thu 8:00 |
Momentum-Based Policy Gradient Methods Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang |
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Poster
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Thu 9:00 |
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions Michael Chang, Sid Kaushik, S. Matthew Weinberg, Thomas Griffiths, Sergey Levine |
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Poster
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Thu 12:00 |
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Remi Munos |
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Poster
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Thu 17:00 |
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng |