%20--%3e%3cpath%20d='m171.4%2057.64c-7.4%200-10.86-5.38-10.86-11.38v-40.26h-100.8c-11.96%200-22.17%2010.14-22.17%2021.11v195.1c0%2011.53%209.55%2022.75%2021.57%2022.75h130.9c11.49%200%2021-11.09%2021-22.01v-165.4h-39.56z'%20fill='%239ca3af'%20mask='url(%23atom-cutout)'/%3e%3cpath%20d='m167%206v39.38c0%204.54%202.38%206.28%205.88%206.28h37.78l-43.66-45.66z'%20fill='%239ca3af'/%3e%3cdefs%3e%3cmask%20id='atom-cutout'%20maskUnits='userSpaceOnUse'%20x='0'%20y='0'%20width='250'%20height='250'%3e%3crect%20width='250'%20height='250'%20fill='white'/%3e%3cpath%20d='m170.9%20129.6c10.94-12.48%2017.43-24.24%2013.97-33.24-4.19-11.21-17.77-12.47-37.08-9.52-4.98-15.64-12.87-28.35-23.32-28.35-10.79%200-18.57%2011.93-23.02%2028.17-17.36-3.03-31.45-1.69-36.49%208.39-4.98%209.94%201.28%2021.82%2011.97%2034.54-10.43%2011.58-16.11%2022.34-13.02%2032.42%203.69%2011.75%2017.19%2013.26%2034.99%2010.73%200.55-0.08%201.09-0.2%203.01-0.54%204.87%2015.55%2012.86%2027.45%2023%2027.45%2010.49%200%2018.71-11.29%2022.46-26.29%202.93%200.65%208.01%201.4%2012.33%201.4%209.75%200%2021.67-2.81%2025.47-11.99%203.72-9.01-2.57-20.07-14.27-33.17zm9.01-30.87c2.5%207.02-2.98%2016.46-10.71%2026.48-5.4-5.65-9.44-9.29-15.55-13.82-0.74-7.74-1.84-13.34-3.84-20.08%2014.16-2.61%2026.8-2.03%2030.1%207.42zm-41.31%2050.97c-4.72%203.32-9.55%206.29-14.18%209.42-4.65-2.52-11.22-6.33-22.32-14.13-0.82-5.47-1.23-9.82-1.23-15.71%200-5.12%200.3-10.06%200.89-14.24%208.11-6.33%2015.66-11.07%2022.66-14.25%207.44%203.8%2015.16%208.37%2023.45%2014.22%200.6%204.72%200.73%209.15%200.73%2014.33%200%205.6-0.44%2011.01-1.12%2014.62-2.93%202.36-5.62%203.65-8.88%205.74zm7.79-42.44c-5.59-3.95-9.18-6.49-15.39-9.63%204.61-1.98%208.95-3.5%2013.3-4.68%201.28%204.69%201.91%209.19%202.09%2014.31zm-21.97-43.29c7.93%200%2014.64%2011.47%2018.68%2023.94-6.36%201.78-11.42%203.79-18.62%206.96-6.77-3.11-12.38-5.48-17.96-7.13%204.18-12.87%2010.76-23.77%2017.9-23.77zm-19.37%2029.22c5.05%201.33%208.33%202.71%2013.01%204.56-5.36%202.85-10.09%205.92-15.56%2010.03%200.76-5.4%201.28-9.62%202.55-14.59zm-35.34%204.4c3.36-7.68%2014.59-8.65%2030.26-6.08-1.83%207.23-2.96%2013.21-3.66%2020.35-6.18%205.21-9.52%208.35-15.07%2013.83-7.79-9.53-14.52-20.8-11.53-28.1zm25.85%2021.42c-0.23%203.74-0.32%206.1-0.32%209.85%200%203.88%200.16%207.34%200.46%2011.33-4.1-3.52-7.4-6.83-10.27-10.51%203.55-3.84%206.17-6.89%2010.13-10.67zm-27.06%2041.05c-2.73-7.87%203.21-16.65%2013.11-26.45%205.07%205.38%208.7%209.09%2015.15%2014.29%200.94%207.54%201.9%2012.71%203.4%2020.17-14.04%202.46-28.01%202.08-31.66-8.01zm35.68-8.34c6.12%204.32%2010.97%207.43%2014.7%2010.03-4.97%202.19-9.12%203.61-13.66%204.9-0.91-4.79-1.44-9.58-1.04-14.93zm20.67%2042.52c-8.13%200-14.08-9.82-18.68-22.01%207.14-1.94%2011.4-3.69%2018.74-6.48%206.22%203.02%2010.89%205%2017.55%206.54-4.15%2012.47-10.36%2021.95-17.61%2021.95zm19.1-27.83c-4.8-1.27-7.77-2.5-13.1-4.83%205.87-3.09%2010.36-5.89%2015.58-9.79-0.8%205.47-1.27%209.62-2.48%2014.62zm8.75-24.86c0.3-4.12%200.4-7.86%200.4-12.24%200-3.32-0.1-5.87-0.34-9.67%204.48%203.8%207.81%207.15%2011.47%2011.43-3.78%204.12-7.02%207.24-11.53%2010.48zm27.38%2019.34c-4.3%207.82-17.33%208.55-31.3%206.68%202.01-7.43%202.89-12.73%204.22-20.78%206.09-4.53%209.96-8.1%2015.22-13.18%208.55%2010.08%2016.52%2019.28%2011.86%2027.28z'%20fill='black'/%3e%3cpath%20d='m124.4%20141.5c8.15%200%2011.81-7.84%2011.48-12.71-0.54-7.29-5.85-11.33-11.48-11.33-7.68%200-11.64%206.61-11.64%2011.69%200%206.85%204.42%2012.35%2011.64%2012.35z'%20fill='black'/%3e%3c/mask%3e%3c/defs%3e%3c/svg%3e)
Digital AssetAvailable
The ART of CityLearn: Observation Perturbation Attacks and Mitigation for Reinforcement Learning Agents in a Cyber Physical Power System
Faculty of Engineering
Computer and Software Engineering
Université de Montréal
Mr. K. Broda-Milian et. al's thesis on employing adversarial attacks and defenses for reinforcement learning agents in a realistic smart energy environment. This digital item includes the full source code and accompanying Master's thesis.
RanwaAI
Faculty of Engineering
Research lab focused on advancing scientific knowledge and innovation.
KT
Konur Tholl
Digital AssetAvailable
The ART of CityLearn: Observation Perturbation Attacks and Mitigation for Reinforcement Learning Agents in a Cyber Physical Power System
Faculty of Engineering
Computer and Software Engineering
Université de Montréal
Mr. K. Broda-Milian et. al's thesis on employing adversarial attacks and defenses for reinforcement learning agents in a realistic smart energy environment. This digital item includes the full source code and accompanying Master's thesis.
RanwaAI
Faculty of Engineering
Research lab focused on advancing scientific knowledge and innovation.
KT
Konur Tholl
You might also like
Discover more resources that could support your research