11 citations · 11 across the 2 of their papers we have counts for
3 papers
Learning Reusable Options for Multi-Task Reinforcement Learning
Francisco M. Garcia, Chris Nota, Philip S. Thomas
Reinforcement learning (RL) has become an increasingly active area of research in recent years. Although there are many algorithms that allow an agent to solve tasks efficiently, t…
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco M. Garcia, Philip S. Thomas
In this paper we consider the problem of how a reinforcement learning agent that is tasked with solving a sequence of reinforcement learning problems (a sequence of Markov decision…
A Compression-Inspired Framework for Macro Discovery
Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas
In this paper we consider the problem of how a reinforcement learning agent tasked with solving a set of related Markov decision processes can use knowledge acquired early in its l…