21 citations · 31 across the 8 of their papers we have counts for
8 papers
A KL-regularization Framework for Learning to Plan with Adaptive Priors
Álvaro Serra-Gomez, Daniel Jarne Ornia, Dhruva Tirumala +1
Effective exploration remains a central challenge in model-based reinforcement learning (MBRL), particularly in high-dimensional continuous control tasks where sample efficiency is…
Predictability Awareness for Efficient and Robust Multi-Agent Coordination
Roman Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa +1
To safely and efficiently solve motion planning problems in multi-agent settings, most approaches attempt to solve a joint optimization that explicitly accounts for the responses t…
RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
Khaled A. Mustafa, Daniel Jarne Ornia, Jens Kober +1
For an autonomous vehicle to operate reliably within real-world traffic scenarios, it is imperative to assess the repercussions of its prospective actions by anticipating the uncer…
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
Daniel Jarne Ornia, Giannis Delimpaltadakis, Jens Kober +1
In Reinforcement Learning (RL), agents have no incentive to exhibit predictable behaviors, and are often pushed (through e.g. policy entropy regularisation) to randomise their acti…
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives
Daniel Jarne Ornia, Licio Romao, Lewis Hammond +2
Policy robustness in Reinforcement Learning may not be desirable at any cost: the alterations caused by robustness requirements from otherwise optimal policies should be explainabl…
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Daniel Jarne Ornia, Manuel Mazo
We present an approach to reduce the communication required between agents in a Multi-Agent learning system by exploiting the inherent robustness of the underlying Markov Decision…
Event-Based Communication in Distributed Q-Learning
Daniel Jarne Ornia, Manuel Mazo
We present an approach to reduce the communication of information needed on a Distributed Q-Learning system inspired by Event Triggered Control (ETC) techniques. We consider a base…
Mean Field Behaviour of Collaborative Multi-Agent Foragers
Daniel Jarne Ornia, Pedro J Zufiria, Manuel Mazo
Collaborative multi-agent robotic systems where agents coordinate by modifying a shared environment often result in undesired dynamical couplings that complicate the analysis and e…