Chao Gao

collaborators

2 papers

cs.LG2025

$β$ -DQN: Improving Deep Q-Learning By Evolving the Behavior

Hongming Zhang, Fengshuo Bai, Chenjun Xiao +3

While many sophisticated exploration methods have been proposed, their lack of generality and high computational cost often lead researchers to favor simpler methods like $ε$ -greed…

cs.LG2024

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{$…

β-DQN: Improving Deep Q-Learning By Evolving the Behavior

ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control

$β$ -DQN: Improving Deep Q-Learning By Evolving the Behavior