Workshop
|
Sat 2:30
|
Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang · Ethan Blaser · Hadi Daneshmand · Shangtong Zhang
|
|
Poster
|
Wed 4:30
|
An Information Theoretic Approach to Interaction-Grounded Learning
Xiaoyan Hu · Farzan Farnia · Ho-fung Leung
|
|
Poster
|
Tue 2:30
|
Hybrid Inverse Reinforcement Learning
Juntao Ren · Gokul Swamy · Steven Wu · J. Bagnell · Sanjiban Choudhury
|
|
Workshop
|
Sat 1:00
|
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Yifei Zhou · Hao Bai · Mert Cemri · Jiayi Pan · Alane Suhr · Sergey Levine · Aviral Kumar
|
|
Workshop
|
|
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Hao Bai · Yifei Zhou · Mert Cemri · Jiayi Pan · Alane Suhr · Sergey Levine · Aviral Kumar
|
|
Poster
|
Wed 2:30
|
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed · Homayoon Farrahi · Felix Dangel · Rupam Mahmood
|
|
Poster
|
Thu 2:30
|
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
Boning Li · Zhixuan Fang · Longbo Huang
|
|
Workshop
|
Sat 2:30
|
Pierluca D'Oro: AI-Assisted Agent Design with Large Language Models and Reinforcement Learning
|
|
Workshop
|
|
A Variational Formulation of Reinforcement Learning in Infinite-Horizon Markov Decision Processes
Tim G. J. Rudner
|
|
Poster
|
|
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
Juntao Dai · Yaodong Yang · Qian Zheng · Gang Pan
|
|
Poster
|
Thu 2:30
|
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin · James Doran · Shangmin Guo · Christopher Lucas · Stefano V. Albrecht
|
|
Poster
|
Tue 2:30
|
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
Yi Ma · Jianye Hao · Hebin Liang · Chenjun Xiao
|
|