Samer B. Nashed

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cs.LG2025

RL $^{3}$ : Boosting Meta Reinforcement Learning via RL inside RL $^{2}$

Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein

Meta reinforcement learning (Meta-RL) methods such as RL $^{2}$ have emerged as promising approaches for learning data-efficient RL algorithms tailored to a given task distribution. H…

cs.LG2025

Safety Representations for Safer Policy Learning

Kaustubh Mani, Vincent Mai, Charlie Gauthier +3

Reinforcement learning algorithms typically necessitate extensive exploration of the state space to find optimal policies. However, in safety-critical applications, the risks assoc…

RL3: Boosting Meta Reinforcement Learning via RL inside RL2

Safety Representations for Safer Policy Learning

RL $^{3}$ : Boosting Meta Reinforcement Learning via RL inside RL $^{2}$