Work

Policy Gradient Strategies for Lunar Lander Navigation: A Deep Reinforcement Learning Approach (REINFORCE).

Year: 2025

Type: dataset

Abstract: review next bu Canada Genigra output than an back to design Folds here Folds here Policy Gradient Strategies for Lunar Lander Navigation: A Deep Reinforcement Learning Approach (REINFORCE)) .

DOI: 10.54985/peeref.2504p1094338

Author: Thakshith Sai R

Institution: VIT-AP University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4409646449

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