C-9: Reinforcement Learning over Networks (invited) |
| Session Type: Virtual |
| Time: Tuesday, November 02, 11:15 - 12:45 |
| Location: Room 3 |
| Virtual Session: Attend on Virtual Platform |
| Session Chairs: Tianyi Chen, Rensselaer Polytechnic Institute, USA and Santiago Paternain, Rensselaer Polytechnic Institute, USA |
| C-9.1: Multi-Agent Reinforcement Learning in Time-varying Networked Systems |
| Yiheng Lin; California Institute of Technology |
| Guannan Qu; California Institute of Technology |
| Longbo Huang; Tsinghua University |
| Adam Wierman; California Institute of Technology |
| C-9.2: On-policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation |
| Konstantinos D. Polyzos; University of Minnesota |
| Qin Lu; University of Minnesota |
| Alireza Sadeghi; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |
| C-9.3: Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning |
| Alec Koppel; Amazon |
| Amrit Bedi; U.S. Army Research Laboratory |
| Bhargav Ganguly; Purdue University |
| Vaneet Aggarwal; Purdue University |
| C-9.4: Communication-efficient Offline Policy Optimization from Distributed Batch Data |
| Han Shen; Rensselaer polytechnic institute |
| Xuefei Li; Rensselaer polytechnic institute |
| Songtao Lu; IBM Thomas J. Watson Research Center |
| Lior Horesh; IBM Thomas J. Watson Research Center |
| Tianyi Chen; Rensselaer polytechnic institute |