Reinforcement Learning with Depreciating Assets

no code implementations • 27 Feb 2023 • Taylor Dohmen, Ashutosh Trivedi

A basic assumption of traditional reinforcement learning is that the value of a reward does not change once it is received by an agent.

reinforcement-learning Reinforcement Learning (RL)

Inferring Probabilistic Reward Machines from Non-Markovian Reward Processes for Reinforcement Learning

no code implementations • 9 Jul 2021 • Taylor Dohmen, Noah Topper, George Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez

The success of reinforcement learning in typical settings is predicated on Markovian assumptions on the reward signal by which an agent learns optimal policies.

Decision Making reinforcement-learning +1