6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Attention Option-Critic
Raviteja Chunduru, Doina Precup
Temporal abstraction in reinforcement learning is the ability of an agent to learn and use high-level behaviors, called options. The option-critic architecture provides a gradient-…
cs.LG2020★ 6 cited
Maximum Reward Formulation In Reinforcement Learning
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall +6
Reinforcement learning (RL) algorithms typically deal with maximizing the expected cumulative return (discounted or undiscounted, finite or infinite horizon). However, several cruc…