NeurIPS 2022 Workshop Offline RL Submissions

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
Riashat Islam, Manan Tomar, Alex Lamb, Hongyu Zang, Yonathan Efroni, Dipendra Misra, Aniket Rajiv Didolkar, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Joey Hong, Aviral Kumar, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting
Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Charles Alexander Hepburn, Giovanni Montana
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning
Alex Beeson, Giovanni Montana
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Guiding Offline Reinforcement Learning Using Safety Expert
Richa Verma, Kartik Bharadwaj, Harshad Khadilkar, Balaraman Ravindran
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Pareto-Efficient Decision Agents for Offline Multi-Objective Reinforcement Learning
Baiting Zhu, Meihua Dang, Aditya Grover
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Revisiting Bellman Errors for Offline Model Selection
Joshua P Zitovsky, Rishabh Agarwal, Daniel de Marchi, Michael R Kosorok
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Boosting Offline Reinforcement Learning via Data Rebalancing
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng YAN
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
General policy mapping: online continual reinforcement learning inspired on the insect brain
Angel Yanguas-Gil, Sandeep Madireddy
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
On- and Offline Multi-agent Reinforcement Learning for Disease Mitigation using Human Mobility Data
Sofia Hurtado, Radu Marculescu
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Contrastive Example-Based Control
Kyle Beltran Hatch, Sarthak J Shetty, Benjamin Eysenbach, Tianhe Yu, Rafael Rafailov, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
Sunil Madhow, Dan Qiao, Yu-Xiang Wang
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
Shiva Kanth Sujit, Pedro Braga, Jorg Bornschein, Samira Ebrahimi Kahou
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Anurag Koul, Mariano Phielipp, Alan Fern
- 05 Oct 2022 (modified: 14 Apr 2024)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Residual Model-Based Reinforcement Learning for Physical Dynamics
Zakariae EL ASRI, Clément Rambour, Vincent LE GUEN, Nicolas THOME
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning
Braham Snyder, Yuke Zhu
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Collaborative symmetricity exploitation for offline learning of hardware design solver
Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
SPRINT: Scalable Semantic Policy Pre-training via Language Instruction Relabeling
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Taewook Nam, Sung Ju Hwang, Xiang Ren, Joseph J Lim
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che, Xiru Zhu, Doina Precup, David Meger, Gregory Dudek
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Trajectory-based Explainability Framework for Offline RL
Shripad Vilasrao Deshmukh, Arpan Dasgupta, Chirag Agarwal, Nan Jiang, Balaji Krishnamurthy, Georgios Theocharous, Jayakumar Subramanian
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone