Jesus Bujalance Martin

most citedSTIR

^{2}

: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks

1 citations · 2 across the 3 of their papers we have counts for

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cs.LG2022★ 1 cited

STIR $^{2}$ : 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…

cs.LG2021★ 1 cited

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.…

STIR2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks

Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling

STIR $^{2}$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks