Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control

no code implementations • 4 Mar 2023 • Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli

Uncertainty quantification has been extensively used as a means to achieve efficient directed exploration in Reinforcement Learning (RL).

Q-Learning Reinforcement Learning (RL) +1

Goal-Directed Planning via Hindsight Experience Replay

no code implementations • ICLR 2022 • Lorenzo Moro, Amarildo Likmeta, Enrico Prati, Marcello Restelli

It has been extended from complex continuous domains through function approximators to bias the search of the planning tree in AlphaZero.

Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters

1 code implementation • NeurIPS 2019 • Alberto Maria Metelli, Amarildo Likmeta, Marcello Restelli

How does the uncertainty of the value function propagate when performing temporal difference learning?

Atari Games Q-Learning +2