|
Poster
|
|
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
Zihan Zhang · Yuhang Jiang · Yuan Zhou · Xiangyang Ji
|
|
|
Poster
|
|
I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang · Zongqing Lu
|
|
|
Workshop
|
|
Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Cedric Malherbe · Aladin Virmaux · Ludovic Dos Santos · Sofian Chaybouti
|
|
|
Poster
|
|
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Jiafei Lyu · Xiaoteng Ma · Xiu Li · Zongqing Lu
|
|
|
Poster
|
|
Multiagent Q-learning with Sub-Team Coordination
Wenhan Huang · Kai Li · Kun Shao · Tianze Zhou · Matthew Taylor · Jun Luo · Dongge Wang · Hangyu Mao · Jianye Hao · Jun Wang · Xiaotie Deng
|
|
|
Workshop
|
|
Improving Assistive Robotics with Deep Reinforcement Learning
Yash Jakhotiya · Iman Haque
|
|
|
Workshop
|
|
Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
|
|
|
Workshop
|
|
Training Equilibria in Reinforcement Learning
Lauro Langosco · David Krueger · Adam Gleave
|
|
|
Poster
|
Thu 9:00
|
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang · Yuan Zhang · Yunjie Gu · Tae-Kyun Kim
|
|
|
Poster
|
Thu 9:00
|
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin · Stepan Martyanov
|
|
|
Workshop
|
Fri 6:25
|
Reinforcement learning in large-scale heterogeneous dynamic systems
Ivana Dusparic
|
|
|
Workshop
|
|
Inducing Functions through Reinforcement Learning without Task Specification
Junmo Cho · Donghwan Lee · Young-Gyu Yoon
|
|
