3 papers
cs.AI2023
Iterative Option Discovery for Planning, by Planning
Kenny Young, Richard S. Sutton
Discovering useful temporal abstractions, in the form of options, is widely thought to be key to applying reinforcement learning and planning to increasingly complex domains. Build…
cs.LG2020
Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning
Kenny Young, Richard S. Sutton
Despite empirical success, the theory of reinforcement learning (RL) with value function approximation remains fundamentally incomplete. Prior work has identified a variety of path…
cs.LG2018
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling
Kenny J. Young, Richard S. Sutton, Shuo Yang
Episodic memory is a psychology term which refers to the ability to recall specific events from the past. We suggest one advantage of this particular type of memory is the ability…