no code implementations • ICML Workshop LifelongML 2020 • Raviteja Chunduru, Doina Precup
Temporal abstraction in reinforcement learning is the ability of an agent to learn and use high-level behaviors, called options.
1 code implementation • 8 Oct 2020 • Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
Reinforcement learning (RL) algorithms typically deal with maximizing the expected cumulative return (discounted or undiscounted, finite or infinite horizon).