11 citations · 31 across the 6 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 11 cited
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. León, Murray Shanahan, Francesco Belardinelli
This work introduces a neuro-symbolic agent that combines deep reinforcement learning (DRL) with temporal logic (TL) to achieve systematic zero-shot, i.e., never-seen-before, gener…
cs.AI2020★ 11 cited
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
Borja G. León, Francesco Belardinelli
The combination of Formal Methods with Reinforcement Learning (RL) has recently attracted interest as a way for single-agent RL to learn multiple-task specifications. In this paper…