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

Training Equilibria in Reinforcement Learning
Lauro Langosco · David Krueger · Adam Gleave

Workshop

Improving Assistive Robotics with Deep Reinforcement Learning
Yash Jakhotiya · Iman Haque

Workshop

Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz

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

Deep Reinforcement Learning Policies in the Frequency Domain
Ezgi Korkmaz

Workshop

Fri 6:25

Reinforcement learning in large-scale heterogeneous dynamic systems
Ivana Dusparic

Workshop

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?
Sanjana Narayanan · Isaac Lage · Finale Doshi-Velez

Results