Bipedal Walker using DQN
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Jun 26, 2024 - Python
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deepqnetwork
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NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episodic, semantic, procedural), goal hierarchies, and learning (DQN) systems. An extensible testbed for artificial life and cognitive modeling research.
python ai simulation neuroscience dqn machinelearning consciousness artificialintelligence reinforcementlearning computationalneuroscience consciousness-and-neuroscience deepqnetwork conscious-ai cognitivearchitecture artificiallife memorysystems researchproject behavioralsimulation
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Aug 3, 2025 - Python
Capturing the Flag (CTF) Multi-Agent Reinforcement Learning (MARL) in CTF game environment. The project evaluates different approaches like Independent Q-Learning (IQL) and Multi-Agent Proximal Policy Optimization (MAPPO) for cooperative and competitive agent interactions in a grid-world environment.
reinforcement-learning algorithms dqn capture-the-flag qlearning-algorithm multiagent-reinforcement-learning mappo multi-agent-proximal-policy-optimization deepqnetwork
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Jan 3, 2025 - Python
Framework for reinforcements learning algorithms running on gymnasium environment
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Oct 21, 2025 - Python
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