Question: Objective: Explore the application of Deep Reinforcement Learning ( DRL ) in specific domains, identify three significant papers, and conduct a exploratory and comparative analysis.

Objective: Explore the application of Deep Reinforcement Learning (DRL) in specific domains, identify three significant papers, and conduct a exploratory and comparative analysis.
Choose an Application Area:
For instance, select an application domain from the following list (but not limited):
Autonomous Vehicle Control
Robotics Navigation
Game Playing (e.g., Chess, Go, Atari Games)
Gesture Generation / Synthesis
Financial Trading
Smart Grid Management
Healthcare Treatment Recommendations
Personalized Recommendations
Natural Language Processing
Industrial Process Control
Smart City Traffic Management
Identify Three Research Papers
Select three conference/journal papers from reputed sources like IEEE, Springer, or ACM that focus on the application of DRL in your chosen domain from step 1. Highlight the following (at least 5) using the below list and add comments in each of the selected papers (strictly pdf format only).
Proposed framework
Problem Statement
Key Contributions
State space, Action space, Policy, Transition function, Reward function, Goal statement
Network structure description
Implementation Strategy
Performance evaluation
Generalization capabilities
Ablation Study
Advantages / Applications / Limitations
Upload all three PDFs as individual files (Must: highlights and comments) on Canvas.
Create a Comparison Table:
Compare the three papers and present your findings in a table with the following titles:
Group Number, Member Names, and BITS ID
PAPER 1, PAPER 2, PAPER 3(with subheadings: Title, Domain, Authors, Year of Publication, Algorithms / Methods, Environment / Simulation Platform, Exploration Strategy, Reward Function, Policy/Value Function Representation, Learning Rate / Hyperparameters, Loss function used, Convergence Criteria, Evaluation/Performance Metric, Dataset/Simulation Details, URL if public dataset)
Conclusion: End the comparison with a proper conclusion highlighting your observations. Justify the choice of each paper used in the study.
Submission: Upload the comparison table as one PDF.(Improper table formatting leads to marks reduction)

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