Robotics Policy Optimization on 100 drones (game theory)

Two simple examples to optimize reward functions (transformer based) for RL of a fleet of taxis in New York (learning from their environment interactions) and Reinforcement Learning (RL multi-agents) for swarm intelligence of 100 drones exploring Jupiter's stormy atmosphere.

Open Problems and Fundamental Limitations of
Reinforcement Learning from Human Feedback
https://arxiv.org/pdf/2307.15217.pdf

#ai
#reinforcementlearning
#datascience

agents atmosphere drones environment examples feedback functions game game theory human human feedback intelligence interactions jupiter limitations optimization policy reinforcement reinforcement learning reinforcementlearning robotics simple theory transformer