2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
MLSP-27: Reinforcement Learning 3 |
| Session Type: Poster |
| Time: Thursday, 10 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Seung-Jun Kim, University of Maryland, Baltimore County |
| MLSP-27.1: GAUSSIAN PROCESS TEMPORAL-DIFFERENCE LEARNING WITH SCALABILITY AND WORST-CASE PERFORMANCE GUARANTEES |
| Qin Lu; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |
| MLSP-27.2: SELF-INFERENCE OF OTHERS' POLICIES FOR HOMOGENEOUS AGENTS IN COOPERATIVE MULTI-AGENT REINFORCEMENT LEARNING |
| Qifeng Lin; Sun Yat-sen University |
| Qing Ling; Sun Yat-sen University |
| MLSP-27.3: SEMI-SUPERVISED BATCH ACTIVE LEARNING VIA BILEVEL OPTIMIZATION |
| Zalán Borsos; ETH Zurich |
| Marco Tagliasacchi; Google |
| Andreas Krause; ETH Zurich |
| MLSP-27.4: KERNEL-BASED LIFELONG POLICY GRADIENT REINFORCEMENT LEARNING |
| Rami Mowakeaa; University of Maryland, Baltimore County |
| Seung-Jun Kim; University of Maryland, Baltimore County |
| Darren Emge; Combat Capabilities Development Command |
| MLSP-27.5: POLICY AUGMENTATION: AN EXPLORATION STRATEGY FOR FASTER CONVERGENCE OF DEEP REINFORCEMENT LEARNING ALGORITHMS |
| Arash Mahyari; Florida Institute For Human and Machine Cognition (IHMC) |
| MLSP-27.6: GRAPHCOMM: A GRAPH NEURAL NETWORK BASED METHOD FOR MULTI-AGENT REINFORCEMENT LEARNING |
| Siqi Shen; Xiamen University |
| Yongquan Fu; National University of Defense Technology |
| Huayou Su; National University of Defense Technology |
| Hengyue Pan; National University of Defense Technology |
| Qiao Peng; National University of Defense Technology |
| Yong Dou; National University of Defense Technology |
| Cheng Wang; Xiamen University |