RLC 2024 Workshop RLSW Submissions

Operator Bellman Equations Support Compositional & Verifiable Planning in Hierarchical World-models
Tom Ringstrom
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 TalkPoster
- Readers: Everyone
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 TalkPoster
- Readers: Everyone
Online Statistical Inference of Constant Sample-averaged Q-Learning
Saunak Kumar Panda, Tong Li, Ruiqi Liu, Yisha Xiang
- Published: 07 Aug 2024, Last Modified: 26 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Boldi, Li Ding, Lee Spector, Scott Niekum
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Sample Complexity for Obtaining Sub-optimality and Violation bound for Distributionally Robust Constrained MDP
Arnob Ghosh
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Safe and Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley, Trevor McInroe, Sam Devlin, Amos Storkey
- Published: 07 Aug 2024, Last Modified: 26 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Simplifying Constraint Inference with Inverse Reinforcement Learning
Adriana Hugessen, Harley Wiltzer, Glen Berseth
- Published: 07 Aug 2024, Last Modified: 21 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
Siemen Herremans, Ali Anwar, Siegfried Mercelis
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
ROSARL: Reward-Only Safe Reinforcement Learning
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman
- Published: 07 Aug 2024, Last Modified: 26 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Efficient Inverse Reinforcement Learning without Compounding Errors
Nicolas Espinosa Dice, Gokul Swamy, Sanjiban Choudhury, Wen Sun
- Published: 07 Aug 2024, Last Modified: 24 Aug 2024
- RLSW 2024 TalkPoster
- Readers: Everyone
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan C Balloch, Julia Kim, Mark Riedl, Robert Wright
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Jingwu Tang, Gokul Swamy, Fei Fang, Steven Wu
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 TalkPoster
- Readers: Everyone
Predicting Future Actions of Reinforcement Learning Agents
Stephen Chung, Scott Niekum, David Krueger
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
Prioritizing safety via curriculum learning
Cevahir Koprulu, Thiago D. Simão, Nils Jansen, ufuk topcu
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
DECAF: Learning to be Fair in Multi-agent Resource Allocation
Ashwin Kumar, William Yeoh
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 Poster
- Readers: Everyone
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees
Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, YUKI ICHIHARA, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- RLSW 2024 TalkPoster
- Readers: Everyone