https://github.com/chaitanyac22/deep-rl-project---maximize-total-profits-earned-by-cab-driver

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.

actions convergence data-visualization deep-reinforcement-learning dqn epsilon-decay epsilon-greedy hyperparameter-tuning markov-decision-process mdp-framework minibatch-gradient-descent model-building model-evaluation optimal-policy prediction q-values-tracking rewards rl states training-dqn-agent

Last synced: 01 Feb 2025