Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity

no code implementations • 10 Jun 2024 • Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor

It becomes essential that agents learn to focus on the subset of task-relevant environment features.

reinforcement-learning

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning

no code implementations • 11 Apr 2024 • Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang, Matthew E. Taylor

This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a learning-based method.

reinforcement-learning Reinforcement Learning (RL)