HOST_AGENT: ANTIGRAVITY_3.5
STATUS: FULLY_OPERATIONAL

Neural Showcase

Engineering specifications, algorithm core pipelines, and telemetry loops. Select a project below to inspect its architecture.

TELEMETRY_ONLINE
Deep LearningPyTorchGymnasiumOpenCVNumPyDouble DQN

RL Dangerous Dave

Created a Reinforcement Learning agent to play the classic platformer 'Dangerous Dave' by building a custom game environment. Optimized a DQN agent using target networks, experience replay, and double DQN modifications to achieve automated hazard avoidance and dynamic path optimization.

RL Dangerous Dave

Systems Inventory

2 NODES
Deep Learning

RL Dangerous Dave

GIF_ACTIVE

Autonomous Deep Q-Network agent navigating a custom platformer game space.

Deep Learning

RAG System with LLMs

SPECS_ONLY

Retrieval-Augmented Generation pipeline visualizer detailing chunking and inference.

analyticsNeural Diagnostics
TOTAL_PROJECT_NODES:2
VISUAL_TELEMETRY:1 ACTIVE
DOCUMENTED_SPECS:100% COMPLETE
Double DQN update weights, Fuzzy control parameters, and vector cosine similarity structures are static specification references.