21 citations · 31 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
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…