Reinforcement Learning Unboxed: How Machines Learn to Act

An IEEE CS Türkiye Chapter Talk by Emir Arditi, PhD. Candidate

🌟 𝑪𝒖𝒓𝒊𝒐𝒖𝒔 𝒂𝒃𝒐𝒖𝒕 𝒉𝒐𝒘 𝒎𝒂𝒄𝒉𝒊𝒏𝒆𝒔 𝒍𝒆𝒂𝒓𝒏 𝒕𝒐 𝒂𝒄𝒕 𝒂𝒏𝒅 𝒎𝒂𝒌𝒆 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔?

🤨 𝑬𝒗𝒆𝒓 𝒘𝒐𝒏𝒅𝒆𝒓𝒆𝒅 𝒉𝒐𝒘 𝒂𝒏 𝑨𝑰 𝒎𝒂𝒔𝒕𝒆𝒓𝒔 𝒂 𝒗𝒊𝒅𝒆𝒐 𝒈𝒂𝒎𝒆 𝒐𝒓 𝒍𝒆𝒂𝒓𝒏𝒔 𝒕𝒐 𝒄𝒐𝒏𝒕𝒓𝒐𝒍 𝒂 𝒓𝒐𝒃𝒐𝒕 𝒂𝒓𝒎?

𝑾𝒆 𝒘𝒂𝒓𝒎𝒍𝒚 𝒊𝒏𝒗𝒊𝒕𝒆 𝒚𝒐𝒖 𝒕𝒐 𝒋𝒐𝒊𝒏 𝒕𝒉𝒆 𝒇𝒊𝒓𝒔𝒕 𝒔𝒆𝒔𝒔𝒊𝒐𝒏 𝒐𝒇 𝒕𝒉𝒆 𝑹𝒆𝒊𝒏𝒇𝒐𝒓𝒄𝒆𝒎𝒆𝒏𝒕 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝑻𝒂𝒍𝒌𝒔 𝑺𝒆𝒓𝒊𝒆𝒔 𝒐𝒓𝒈𝒂𝒏𝒊𝒛𝒆𝒅 𝒃𝒚 𝒕𝒉𝒆 𝑰𝑬𝑬𝑬 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑺𝒐𝒄𝒊𝒆𝒕𝒚 𝑻𝒖𝒓𝒌𝒆𝒚 𝑪𝒉𝒂𝒑𝒕𝒆𝒓!

Join us for “𝑹𝒆𝒊𝒏𝒇𝒐𝒓𝒄𝒆𝒎𝒆𝒏𝒕 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝑼𝒏𝒃𝒐𝒙𝒆𝒅: 𝑯𝒐𝒘 𝑴𝒂𝒄𝒉𝒊𝒏𝒆𝒔 𝑳𝒆𝒂𝒓𝒏 𝒕𝒐 𝑨𝒄𝒕,” an accessible and inspiring talk by Emir Arditi, Ph.D. Candidate at Özyeğin University and long-time IEEE member.

🎮🤖 𝐖𝐡𝐚𝐭’𝐬 𝐢𝐭 𝐚𝐛𝐨𝐮𝐭?

This session will clarify the fundamentals of 𝑹𝒆𝒊𝒏𝒇𝒐𝒓𝒄𝒆𝒎𝒆𝒏𝒕 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈, the powerful framework behind many recent AI breakthroughs. You’ll learn:

✅ What an RL agent is and how it perceives its environment
✅ How it learns through trial and error, rewards, and penalties
✅ Why RL matters for robotics, gaming, and intelligent systems

⚠️✨ 𝙉𝒐 𝒑𝙧𝒊𝙤𝒓 𝒆𝙭𝒑𝙚𝒓𝙞𝒆𝙣𝒄𝙚 𝙣𝒆𝙚𝒅𝙚𝒅—𝒋𝙪𝒔𝙩 𝙘𝒖𝙧𝒊𝙤𝒔𝙞𝒕𝙮 𝙖𝒏𝙙 𝙖𝒏 𝒊𝙣𝒕𝙚𝒓𝙚𝒔𝙩 𝙞𝒏 𝑨𝙄!

🚨💡 𝙏𝙝𝙞𝙨 𝙞𝙨 𝙩𝙝𝙚 𝙫𝙚𝙧𝙮 𝙛𝙞𝙧𝙨𝙩 𝙩𝙖𝙡𝙠 𝙤𝙛 𝙩𝙝𝙚 𝙨𝙚𝙧𝙞𝙚𝙨, 𝙨𝙤 𝙄 𝙝𝙞𝙜𝙝𝙡𝙮 𝙧𝙚𝙘𝙤𝙢𝙢𝙚𝙣𝙙 𝙮𝙤𝙪 𝙩𝙤 𝙖𝙩𝙩𝙚𝙣𝙙 𝙩𝙝𝙞𝙨 𝙡𝙚𝙘𝙩𝙪𝙧𝙚—𝙞𝙩 𝙬𝙞𝙡𝙡 𝙥𝙧𝙤𝙫𝙞𝙙𝙚 𝙖 𝙨𝙤𝙡𝙞𝙙 𝙛𝙤𝙪𝙣𝙙𝙖𝙩𝙞𝙤𝙣 𝙩𝙤 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙 𝙩𝙝𝙚 𝙪𝙥𝙘𝙤𝙢𝙞𝙣𝙜 𝙨𝙚𝙨𝙨𝙞𝙤𝙣𝙨.

📅 𝑾𝒉𝒆𝒏?

🗓 𝗪𝗲𝗱𝗻𝗲𝘀𝗱𝗮𝘆, 𝗝𝘂𝗹𝘆 𝟵𝘁𝗵, 𝟮𝟬𝟮𝟱
🕗 𝟭𝟵:𝟬𝟬–𝟮𝟬:𝟯𝟬 (𝗧𝘂𝗿𝗸𝗶𝘀𝗵 𝘁𝗶𝗺𝗲)
🌐 𝗢𝗻𝗹𝗶𝗻𝗲 (𝗧𝗵𝗲 𝗘𝘃𝗲𝗻𝘁 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗪𝗶𝗹𝗹 𝗕𝗲 𝗜𝗻 𝐄𝐧𝐠𝐥𝐢𝐬𝐡)

🔗 Registration

🔗 𝗙𝗿𝗲𝗲 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗹𝗶𝗻𝗸: https://lnkd.in/dG2GYDxs

📌 𝙍𝒆𝙨𝒆𝙧𝒗𝙚 𝙮𝒐𝙪𝒓 𝒔𝙥𝒐𝙩 𝙣𝒐𝙬 𝙖𝒏𝙙 𝙪𝒏𝙡𝒐𝙘𝒌 𝒕𝙝𝒆 𝒇𝙖𝒔𝙘𝒊𝙣𝒂𝙩𝒊𝙣𝒈 𝒘𝙤𝒓𝙡𝒅 𝒐𝙛 𝙢𝒂𝙘𝒉𝙞𝒏𝙚 𝙡𝒆𝙖𝒓𝙣𝒊𝙣𝒈 𝒃𝙮 𝙚𝒙𝙥𝒆𝙧𝒊𝙚𝒏𝙘𝒆!