RLC 2024 Conference Submissions

Shield Decomposition for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments
Daniel Melcer, Christopher Amato, Stavros Tripakis
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning
Yuxin Chen, Chen Tang, Thomas Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Light-weight Probing of Unsupervised Representations for Reinforcement Learning
Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Imitation Learning from Observation through Optimal Transport
Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?
Akansha Kalra, Daniel S. Brown
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Agent-Centric Human Demonstrations Train World Models
James Staley, Elaine Short, Shivam Goel, Yash Shukla
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Policy-Guided Diffusion
Matthew Thomas Jackson, Michael Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob Nicolaus Foerster
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
Connor Mattson, Anurag Sidharth Aribandi, Daniel S. Brown
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Distributionally Robust Constrained Reinforcement Learning under Strong Duality
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Learning Discrete World Models for Heuristic Search
Forest Agostinelli, Misagh Soltani
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Verification-Guided Shielding for Deep Reinforcement Learning
Davide Corsi, Guy Amir, Andoni Rodríguez, Guy Katz, César Sánchez, Roy Fox
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Learning Abstract World Models for Value-preserving Planning with Options
Rafael Rodriguez-Sanchez, George Konidaris
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
Miguel Suau, Matthijs T. J. Spaan, Frans A Oliehoek
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference
Owen Oertell, Jonathan Daniel Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
ROER: Regularized Optimal Experience Replay
Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning
Claas A Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data
Kartik Choudhary, Dhawal Gupta, Philip S. Thomas
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Cost Aware Best Arm Identification
Kellen Kanarios, Qining Zhang, Lei Ying
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige, Yannis Flet-Berliac, Lars C.P.M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas PIERROT
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
He Wang, Laixi Shi, Yuejie Chi
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Combining Automated Optimisation of Hyperparameters and Reward Shape
Julian Dierkes, Emma Cramer, Holger Hoos, Sebastian Trimpe
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Stabilizing Extreme Q-learning by Maclaurin Expansion
Motoki Omura, Takayuki Osa, YUSUKE Mukuta, Tatsuya Harada
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone