1 citations · 2 across the 3 of their papers we have counts for
3 papers
STIR: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Jesus Bujalance Martin, Fabien Moutarde
In the search for more sample-efficient reinforcement-learning (RL) algorithms, a promising direction is to leverage as much external off-policy data as possible. For instance, exp…
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling
Jesus Bujalance Martin, Raphael Chekroun, Fabien Moutarde
During recent years, deep reinforcement learning (DRL) has made successful incursions into complex decision-making applications such as robotics, autonomous driving or video games.…
Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics
Maxence Mahe, Pierre Belamri, Jesus Bujalance Martin
Deep Reinforcement learning holds the guarantee of empowering self-ruling robots to master enormous collections of conduct abilities with negligible human mediation. The improvemen…