diff --git a/_projects/empathy_marl.md b/_projects/empathy_marl.md
new file mode 100644
index 0000000..106064e
--- /dev/null
+++ b/_projects/empathy_marl.md
@@ -0,0 +1,21 @@
+---
+title: Empathy in Multi-Agent Reinforcement Learning
+type: Research
+status: Completed
+date: 2026-01-25
+authors:
+  - name: Christina Eirini Christodoulou
+    avatar: /assets/img/team/christina_christodoulou.png
+  - name: Simone De Giorgi
+    avatar: /assets/img/team/simone_degiorgi.jpg
+  - name: Lavinia Maria Alexandra Skandali
+    avatar: /assets/img/team/lavinia_skandali.jpg
+---
+
+This paper studies whether valuing other agents’ rewards can improve outcomes in multi-agent reinforcement learning. We model empathy as a reward-weighting parameter and compare fixed empathy with empathy that is learned over time using a bandit-based adaptation mechanism.
+
+We evaluate this setup in the Prisoner’s Dilemma, the Stag Hunt, and a Renewable Resource Sharing environment. In all three settings, higher empathy clearly improves cooperation, welfare, and long-run stability. Yet when agents adapt empathy autonomously, they stabilize at intermediate levels instead of reaching the welfare-maximizing one. 
+
+Read the full paper to see how this gap emerges and why the adaptation mechanism becomes the key constraint!
+
+[Full Paper](/assets/reports/Empathy_MARL.pdf)
diff --git a/assets/img/team/christina_christodoulou.png b/assets/img/team/christina_christodoulou.png
new file mode 100644
index 0000000..2b0a6c0
Binary files /dev/null and b/assets/img/team/christina_christodoulou.png differ
diff --git a/assets/img/team/lavinia_skandali.jpg b/assets/img/team/lavinia_skandali.jpg
new file mode 100644
index 0000000..225771b
Binary files /dev/null and b/assets/img/team/lavinia_skandali.jpg differ
diff --git a/assets/reports/Empathy_MARL.pdf b/assets/reports/Empathy_MARL.pdf
new file mode 100644
index 0000000..7759291
Binary files /dev/null and b/assets/reports/Empathy_MARL.pdf differ