Search Results for author: Santiago Miret

Found 7 papers, 1 papers with code

Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization

no code implementations14 Jun 2021 Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar

Our framework relies on Neuroevolution-Enhanced Multi-Objective Optimization (NEMO), a novel search method, to find Pareto optimal mixed-precision configurations for memory and bit-operations objectives.


Learning Intrinsic Symbolic Rewards in Reinforcement Learning

no code implementations8 Oct 2020 Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar

We show that the discovered dense rewards are an effective signal for an RL policy to solve the benchmark tasks.

Safety Aware Reinforcement Learning (SARL)

no code implementations6 Oct 2020 Santiago Miret, Somdeb Majumdar, Carroll Wainwright

Since the safe agent effectively abstracts a task-independent notion of safety via its action probabilities, it can be ported to modulate multiple policies solving different tasks within the given environment without further training.

Collaborative Evolutionary Reinforcement Learning

1 code implementation2 May 2019 Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer

Deep reinforcement learning algorithms have been successfully applied to a range of challenging control tasks.

Continuous Control

Cannot find the paper you are looking for? You can Submit a new open access paper.