diff --git a/README.md b/README.md
index ec48b5ae9..b22db9452 100644
--- a/README.md
+++ b/README.md
@@ -257,7 +257,7 @@ git push -u origin group_N
 ## Deployment
 
 The website is deployed on [CSE3000-research-project.github.io](https://CSE3000-research-project.github.io) using GitHub Pages.
-This website should be updated automatically every time the main branch is updated using the Travis-ci build script. 
+This website should be updated automatically every time the main branch is updated using the Travis-ci build script.
 
 You can also deploy the page locally via command line. To do this, first change `$GH_TOKEN` in the `deploy:ci` command in `package.json` to the correct repository secret taken from the `CSE3000-research-project` GitHub account, and then execute `npm run deploy:ci` command. Authentication during deployment is also done using the token.
 
diff --git a/content/posters/2025/Q4/Group 53/group_info.yaml b/content/posters/2025/Q4/Group 53/group_info.yaml
new file mode 100644
index 000000000..565dc21d0
--- /dev/null
+++ b/content/posters/2025/Q4/Group 53/group_info.yaml	
@@ -0,0 +1,8 @@
+projectTitle: >-
+  Exploring epistemic uncertainty-based exploration methods in Reinforcement
+  Learning
+year: 2025
+supervisors:
+  - Pascal van der Vaart
+  - Neil Yorke-Smith
+quarter: 4
diff --git a/content/posters/2025/Q4/Group 53/students/Alberto Moreno/poster.jpg b/content/posters/2025/Q4/Group 53/students/Alberto Moreno/poster.jpg
new file mode 100644
index 000000000..12d5e3269
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diff --git a/content/posters/2025/Q4/Group 53/students/Alberto Moreno/poster.pdf b/content/posters/2025/Q4/Group 53/students/Alberto Moreno/poster.pdf
new file mode 100644
index 000000000..d57cd3553
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diff --git a/content/posters/2025/Q4/Group 53/students/Alberto Moreno/student_info.yaml b/content/posters/2025/Q4/Group 53/students/Alberto Moreno/student_info.yaml
new file mode 100644
index 000000000..ca6c8a618
--- /dev/null
+++ b/content/posters/2025/Q4/Group 53/students/Alberto Moreno/student_info.yaml	
@@ -0,0 +1,5 @@
+thesisTitle: Empirical Evaluation of Random Network Distillation for DQN Agents
+paperUrl: 'https://repository.tudelft.nl/record/uuid:ffd5f1df-4419-4759-a675-5b99600abdd9'
+firstName: Alberto
+lastName: Moreno
+repositoryUrl: 'https://github.com/albertomoreno04/EpistemicUncertaintyRL'
diff --git a/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/poster.jpg b/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/poster.jpg
new file mode 100644
index 000000000..632b9999e
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diff --git a/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/poster.pdf b/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/poster.pdf
new file mode 100644
index 000000000..39d27e601
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diff --git a/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/student_info.yaml b/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/student_info.yaml
new file mode 100644
index 000000000..b09a5a2c0
--- /dev/null
+++ b/content/posters/2025/Q4/Group 53/students/Pablo Hendriks/student_info.yaml	
@@ -0,0 +1,5 @@
+thesisTitle: 'Revisiting Langevin Monte Carlo Applied to Deep Q-Learning: An Empirical Study of Robustness and Sensitivity'
+paperUrl: 'https://repository.tudelft.nl/record/uuid:43888331-6504-4ddd-a42b-bc2364fba09f'
+firstName: Pablo
+lastName: Hendriks
+repositoryUrl: 'https://github.com/PabloHendriks/AdamLMCDQN'
diff --git a/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/poster.jpg b/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/poster.jpg
new file mode 100644
index 000000000..d2ac61b55
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diff --git a/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/poster.pdf b/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/poster.pdf
new file mode 100644
index 000000000..7dd642bf7
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diff --git a/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/student_info.yaml b/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/student_info.yaml
new file mode 100644
index 000000000..090d4c096
--- /dev/null
+++ b/content/posters/2025/Q4/Group 53/students/Roman Knyazhitskiy/student_info.yaml	
@@ -0,0 +1,5 @@
+thesisTitle: A Unified Scaling Law for Bootstrapped DQNs
+paperUrl: 'https://repository.tudelft.nl/record/uuid:6fb011b5-c2dc-429f-8ae8-e68ecc7d1680'
+firstName: Roman
+lastName: Knyazhitskiy
+repositoryUrl: 'https://github.com/knyazer/bootstrapped-dqn-scaling'
diff --git a/content/posters/2025/Q4/Group 53/students/Sonny Ruff/poster.jpg b/content/posters/2025/Q4/Group 53/students/Sonny Ruff/poster.jpg
new file mode 100644
index 000000000..aee7f975f
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diff --git a/content/posters/2025/Q4/Group 53/students/Sonny Ruff/poster.pdf b/content/posters/2025/Q4/Group 53/students/Sonny Ruff/poster.pdf
new file mode 100644
index 000000000..995b60f1e
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diff --git a/content/posters/2025/Q4/Group 53/students/Sonny Ruff/student_info.yaml b/content/posters/2025/Q4/Group 53/students/Sonny Ruff/student_info.yaml
new file mode 100644
index 000000000..857b74df4
--- /dev/null
+++ b/content/posters/2025/Q4/Group 53/students/Sonny Ruff/student_info.yaml	
@@ -0,0 +1,5 @@
+thesisTitle: Using NoisyNets to Improve Exploration in Contextual Bandit Settings
+paperUrl: 'https://repository.tudelft.nl/search?search_term=Using+NoisyNets+to+Improve+Exploration&page=1&sort=relevance'
+firstName: Sonny
+lastName: Ruff
+repositoryUrl: 'https://github.com/sonnyruff/testdqn'
diff --git a/poster_data_utils.js b/poster_data_utils.js
index 029b8458d..52f5ef3c0 100644
--- a/poster_data_utils.js
+++ b/poster_data_utils.js
@@ -165,18 +165,18 @@ const load_student_data = (
   //if windows then replace / with \
   if (process.platform === "win32") {
     pathToStudentFolder = pathToStudentFolder.replace(/\//g, "\\")
-    const newpath = pathToStudentFolder.replace(/\//g, "\\"); // Windows path
+    const newpath = pathToStudentFolder.replace(/\//g, "\\") // Windows path
     student_data["prevImage"] =
       allPosterPrevImagesByRelativeDirectory[path.dirname(newpath)]
     student_data["pdfUrl"] =
-      allPosterPdfsByRelativeDirectory[path.dirname(newpath)][
+      allPosterPdfsByRelativeDirectory[path.dirname(newpath)]["publicURL"]
+  } else {
+    student_data["prevImage"] =
+      allPosterPrevImagesByRelativeDirectory[path.dirname(pathToStudentFolder)]
+    student_data["pdfUrl"] =
+      allPosterPdfsByRelativeDirectory[path.dirname(pathToStudentFolder)][
         "publicURL"
       ]
-  } else {
-    student_data["prevImage"] = allPosterPrevImagesByRelativeDirectory[path.dirname(pathToStudentFolder)]
-    student_data["pdfUrl"] = allPosterPdfsByRelativeDirectory[path.dirname(pathToStudentFolder)][
-      "publicURL"
-    ]
   }
 
   return student_data