Dmitry Gnatyshak
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View article: Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs Open
The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last few years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it is not clear wheth…
View article: Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs Open
The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it is not clear whether t…
View article: Adding Preferences and Moral Values in an Agent-Based Simulation Framework for High-Performance Computing
Adding Preferences and Moral Values in an Agent-Based Simulation Framework for High-Performance Computing Open
Agent-Based Simulation is a suitable approach used now-a-days to simulate and analyze complex societal environments and scenarios. Current Agent-Based Simulation frameworks either scale quite well in computation but implement very simple r…
View article: Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment
Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment Open
The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not clear whether the d…
View article: Healthy Twitter discussions? Time will tell
Healthy Twitter discussions? Time will tell Open
Studying misinformation and how to deal with unhealthy behaviours within online discussions has recently become an important field of research within social studies. With the rapid development of social media, and the increasing amount of …
View article: Applying and Verifying an Explainability Method Based on Policy Graphs in the Context of Reinforcement Learning
Applying and Verifying an Explainability Method Based on Policy Graphs in the Context of Reinforcement Learning Open
The advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans and are able coop…
View article: Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing Open
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with increased reasoning ca…
View article: Adapting the smart python agent development environment for parallel computing
Adapting the smart python agent development environment for parallel computing Open
View article: Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing
Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing Open
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with increased reasoning ca…
View article: Multimodal Clustering for Community Detection
Multimodal Clustering for Community Detection Open
Multimodal clustering is an unsupervised technique for mining interesting patterns in $n$-adic binary relations or $n$-mode networks. Among different types of such generalized patterns one can find biclusters and formal concepts (maximal b…
View article: Triadic Formal Concept Analysis and triclustering: searching for optimal patterns
Triadic Formal Concept Analysis and triclustering: searching for optimal patterns Open