May 27, 2021 · We propose Exploitation vs Caution (EvC), a paradigm that (1) elegantly incorporates model uncertainty abiding by the Bayesian formalism, and (2) selects the ...

Hence, we propose Exploitation vs Caution (EvC), an algorithm that automatically selects the policy that solves a Risk-sensitive Bayesian MDP in a set of ...

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning · Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel · Published in arXiv ...

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel. 2021, arXiv.org.

Apr 12, 2023 · In an offline context where computational time is not an issue and robustness is the priority we propose Exploitation vs Caution (EvC), a ...

G Angelotti, N Díaz-Rodríguez. Knowledge-Based Systems 260, 110189, 2023. 11, 2023. Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. G ...

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. Offline model learning for planning is a branch of machine learning that.

Abstract:Offline reinforcement learning (RL) is suitable for safety-critical domains where online exploration is too costly or dangerous.

May 5, 2024 · Offline Risk-sensitive RL with Partial Observability to Enhance ... Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.

May 6, 2024 · [4] proposed. Exploitation vs Caution (EvC), a method for offline risk-sensitive policy selection in low-dimensional Markov Decision ...