In the last decade, reinforcement learning successfully solved complex
c...
In the Reinforcement Learning (RL) framework, the learning is guided thr...
Learning optimal policies in sparse rewards settings is difficult as the...
Reward-based optimization algorithms require both exploration, to find
r...
Evolvability is an important feature that impacts the ability of evoluti...
In this paper we focus on developing a control algorithm for multi-terra...