RLC 2024 Conference Submissions

Optimizing Rewards while meeting $\omega$-regular Constraints
Christopher Zeitler, Kristina Miller, Sayan Mitra, John Schierman, Mahesh Viswanathan
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning
Erin J Talvitie, Zilei Shao, Huiying Li, Jinghan Hu, Jacob Boerma, Rory Zhao, Xintong Wang
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Bandits with Multimodal Structure
Hassan SABER, Odalric-Ambrym Maillard
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Boosting Soft Q-Learning by Bounding
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V Kulkarni
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
Linfeng Zhao, Lawson L.S. Wong
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Inception: Efficiently Computable Misinformation Attacks on Markov Games
Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Human-compatible driving agents through data-regularized self-play reinforcement learning
Daphne Cornelisse, Eugene Vinitsky
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Cross-environment Hyperparameter Tuning for Reinforcement Learning
Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Semi-Supervised One Shot Imitation Learning
Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Policy Architectures for Compositional Generalization in Control
Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Causal Contextual Bandits with Adaptive Context
Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Batch Sequential Halving Algorithm without Performance Degradation
Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Weight Clipping for Deep Continual and Reinforcement Learning
Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Resource Usage Evaluation of Discrete Model-Free Deep Reinforcement Learning Algorithms
Olivia P. Dizon-Paradis, Stephen E. Wormald, Daniel E. Capecci, Avanti Bhandarkar, Damon L. Woodard
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
Johannes Ackermann, Takayuki Osa, Masashi Sugiyama
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Reinforcement Learning from Delayed Observations via World Models
Armin Karamzade, Kyungmin Kim, Montek Kalsi, Roy Fox
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Posterior Sampling for Continuing Environments
Wanqiao Xu, Shi Dong, Benjamin Van Roy
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
States as goal-directed concepts: an epistemic approach to state-representation learning
Nadav Amir, Yael Niv, Angela J Langdon
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
PID Accelerated Temporal Difference Algorithms
Mark Bedaywi, Amin Rakhsha, Amir-massoud Farahmand
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
Bram M. Renting, Thomas M. Moerland, Holger Hoos, Catholijn M Jonker
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Investigating the Interplay of Prioritized Replay and Generalization
Parham Mohammad Panahi, Andrew Patterson, Martha White, Adam White
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
MultiHyRL: Robust Hybrid RL for Obstacle Avoidance against Adversarial Attacks on the Observation Space
Jan de Priester, Zachary Bell, Prashant Ganesh, Ricardo Sanfelice
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Reward Centering
Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone