RLC 2025 Conference Submissions

Achieving Limited Adaptivity for Multinomial Logistic Bandits
Sukruta Prakash Midigeshi, Tanmay Goyal, Gaurav Sinha
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
AI in a vat: Fundamental limits of efficient world modelling for safe agent sandboxing
Fernando Rosas, Alexander Boyd, Manuel Baltieri
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Thompson Sampling for Constrained Bandits
Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Empirical Bound Information-Directed Sampling
Piotr M. Suder, Eric Laber
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Representation Learning and Skill Discovery with Empowerment
Andrew Levy, Alessandro G Allievi, George Konidaris
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning
Umer Siddique, Peilang Li, Yongcan Cao
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Adaptive Submodular Policy Optimization
Branislav Kveton, Anup Rao, Viet Dac Lai, Nikos Vlassis, David Arbour
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Jake Grigsby, Yuqi Xie, Justin Sasek, Steven Zheng, Yuke Zhu
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Reinforcement Learning with Adaptive Temporal Discounting
Sahaj Singh Maini, Zoran Tiganj
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Shaping Laser Pulses with Reinforcement Learning
Francesco Capuano, Davorin Peceli, Gabriele Tiboni
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
Joshua McClellan, Greyson Brothers, Furong Huang, Pratap Tokekar
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
An Analysis of Action-Value Temporal-Difference Methods That Learn State Values
Brett Daley, Prabhat Nagarajan, Martha White, Marlos C. Machado
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Goals vs. Rewards: A Comparative Study of Objective Specification Mechanisms
Septia Rani, Serena Booth, Sarath Sreedharan
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Focused Skill Discovery: Using Per-Factor Empowerment to Control State Variables
Jonathan Colaço Carr, Qinyi Sun, Cameron Allen
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
On Slowly-varying Non-stationary Bandits
Ramakrishnan K, Aditya Gopalan
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Deep Reinforcement Learning with Gradient Eligibility Traces
Esraa Elelimy, Brett Daley, Andrew Patterson, Marlos C. Machado, Adam White, Martha White
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
A Timer-Enforced Hybrid Supervisor for Robust, Chatter-Free Policy Switching
Jan de Priester, Zachary I. Bell, Ricardo Sanfelice
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise
Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi, Sanjay Lall
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets
Alexander Levine, Peter Stone, Amy Zhang
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
V-Max: Making RL Practical for Autonomous Driving
Valentin Charraut, Thomas Tournaire, Waël Doulazmi, Thibault Buhet
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
AVG-DICE: Stationary Distribution Correction by Regression
Fengdi Che, Bryan Chan, Chen Ma, A. Rupam Mahmood
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
Ondrej Bajgar, Dewi Sid William Gould, Jonathon Liu, Alessandro Abate, Konstantinos Gatsis, Michael A Osborne
- Published: 09 May 2025, Last Modified: 06 Jun 2025
- RLC 2025
- Readers: Everyone
Optimistic critics can empower small actors
Olya Mastikhina, Dhruv Sreenivas, Pablo Samuel Castro
- Published: 09 May 2025, Last Modified: 04 Jun 2025
- RLC 2025
- Readers: Everyone
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
TransAM: Transformer-Based Agent Modeling for Multi-Agent Systems via Local Trajectory Encoding
Conor Wallace, Umer Siddique, Yongcan Cao
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone