Lectures related to Community reinforcement approach and family training

Explores internal states and hierarchical control in robotics, focusing on behaviors and neural circuits for hunger.

Explores motivation, rewards, and the impact of the environment on behavior.

Explores classical and operant conditioning principles, the Law of Effect, and reinforcement concepts.

Covers the stability of piles and systems, including design considerations for concrete bridge slabs.

Explores Deep Learning Agents in Reinforcement Learning, emphasizing neural network approximations and challenges in training multiagent systems.

Delves into advanced concrete structure design, covering loads, slabs, beams, calculations, and corbel models.

Explores Quitopolis, an app to quit smoking, offering tools and support to resist cravings and track progress.