Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.
Explores the implementation of an Octagon Abstract Interpreter for C programs, covering abstract interpretation, octagonal constraints, closures, pointers, and the FrontC parser.
Delves into spatial memory usage in RL agents for maze navigation tasks, showing improved performance with visual landmarks but inconsistent results in path choosing.