2 papers
cs.LG2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli +3
To integrate into human-centered environments, autonomous agents must learn from and adapt to humans in their native settings. Preference-based reinforcement learning (PbRL) can en…
cs.AR2024
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang +1
This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a learning-based method. In contrast to previous search-based plac…