Quality-diversity actor-critic: learning high-performing and diverse behaviors via value and successor features critics
A key aspect of intelligence is the ability to demonstrate a broad spectrum of behaviors for
adapting to unexpected situations. Over the past decade, advancements in deep …
adapting to unexpected situations. Over the past decade, advancements in deep …
Quality-diversity with limited resources
Quality-Diversity (QD) algorithms have emerged as a powerful optimization paradigm with
the aim of generating a set of high-quality and diverse solutions. To achieve such a …
the aim of generating a set of high-quality and diverse solutions. To achieve such a …
Skill-conditioned policy optimization with successor features representations
A key aspect of intelligence is the ability to exhibit a wide range of behaviors to adapt to
unforeseen situations. Designing artificial agents that are capable of showcasing a broad …
unforeseen situations. Designing artificial agents that are capable of showcasing a broad …
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
Quality-Diversity (QD) has demonstrated potential in discovering collections of diverse
solutions to optimisation problems. Originally designed for deterministic environments, QD …
solutions to optimisation problems. Originally designed for deterministic environments, QD …
Resolving Goal-Conflicts and Scaling Synthesis through Mode-Based Decomposition
M Brizzio - Proceedings of the 2024 IEEE/ACM 46th International …, 2024 - dl.acm.org
Reactive synthesis, with its roots in the work of A. Church, presents a transformative
approach for the formal methods community. It seeks to translate system behaviors …
approach for the formal methods community. It seeks to translate system behaviors …
Benchmark tasks for Quality-Diversity applied to Uncertain domains
While standard approaches to optimisation focus on producing a single high-performing
solution, Quality-Diversity (QD) algorithms allow large diverse collections of such solutions …
solution, Quality-Diversity (QD) algorithms allow large diverse collections of such solutions …
Quality with Just Enough Diversity in Evolutionary Policy Search
Evolution Strategies (ES) are effective gradient-free optimization methods that can be
competitive with gradient-based approaches for policy search. ES only rely on the total …
competitive with gradient-based approaches for policy search. ES only rely on the total …