AI Learns to Walk (deep reinforcement learning)

An AI agent named Albert learns to walk through deep reinforcement learning by receiving rewards and punishments for different behaviors. Starting with crawling movements like 'the worm,' Albert progressively learns to balance, skip, turn, and eventually take proper walking steps by navigating increasingly complex environments with obstacles and specific movement requirements.