9 citations · 19 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.AI2020★ 3 cited
Robust Hierarchical Planning with Policy Delegation
Tin Lai, Philippe Morere
We propose a novel framework and algorithm for hierarchical planning based on the principle of delegation. This framework, the Markov Intent Process, features a collection of skill…
cs.LG2020
Intrinsic Exploration as Multi-Objective RL
Philippe Morere, Fabio Ramos
Intrinsic motivation enables reinforcement learning (RL) agents to explore when rewards are very sparse, where traditional exploration heuristics such as Boltzmann or e-greedy woul…
cs.LG2020★ 5 cited
Reinforcement Learning with Probabilistically Complete Exploration
Philippe Morere, Gilad Francis, Tom Blau +1
Balancing exploration and exploitation remains a key challenge in reinforcement learning (RL). State-of-the-art RL algorithms suffer from high sample complexity, particularly in th…