My research projects entail new designs of multi-agent reinforcement learning (RL) and distributed control algorithms. I analyze properties of the algorithms by applying knowledge of stochastic approximation and control theory and perform an empirical evaluation through simulations using programming tools such as Python, Tensorflow, Matlab, and Simulink.
Graduate research assistant
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University of Notre Dame
- Notre Dame, IN, USA
- https://www.linkedin.com/in/martin-figura-baa846104/
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Resilient-consensus-based-MARL
Resilient-consensus-based-MARL PublicThis repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversarial attacks on communication channels.
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Cooperative-AC-with-TD-error-aggregation
Cooperative-AC-with-TD-error-aggregation PublicThis repository includes a code for training decentralized cooperative AC agents.
Python
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RL-in-OpenAIGym
RL-in-OpenAIGym PublicImplementation of RL algorithms in benchmark environments from OpenAI Gym
Python
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Adv-MARL
Adv-MARL PublicForked from asokraju/Adv-MARL
Adversarial attacks on communication channels in consensus-based multi-agent reinforcement learning
Python
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