Poster

Thu 9:00

Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin · Stepan Martyanov

Workshop

Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig

Competition

Tue 3:15

Towards better benchmarks for AutoML, meta-learning and continual learning in computer vision
Joaquin Vanschoren

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

Memory bounds for continual learning
Binghui Peng · Xi Chen · Christos Papadimitriou

Workshop

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

Workshop

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

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

Results