• Domain Adaptation in Reinforcement Learning 

      Sood, Srijan
      Reinforcement learning is a powerful mechanism for training artificial and real-world agents to perform tasks. Typically, one can define a task for an agent by simply specifying rewards that reflect the agent’s performance. ...
    • Parameter Free Policy Shaping 

      Grover, Ishaan
      Policy Shaping is an algorithm that takes inputs as state-action-evaluation triples, that the learner obtains through interaction with a teacher. These triples are then used in combination with self exploration and a ...