2 papers
cs.LG2026
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
Ehsan Futuhi, Shayan Karimi, Chao Gao +1
We consider deep deterministic policy gradient (DDPG) in the context of reinforcement learning with sparse rewards. To enhance exploration, we introduce a search procedure, \emph{$…
cs.AI2025
Computational Hardness of Reinforcement Learning with Partial -Realizability
Shayan Karimi, Xiaoqi Tan
This paper investigates the computational complexity of reinforcement learning in a novel linear function approximation regime, termed partial -realizability. In this framewo…