25 citations · 53 across the 12 of their papers we have counts for
14 papers
The Open Ant: A Robot Platform for Reinforcement Learning Research
Elena Sorina Lupu, Patrick Spieler, Khurram Javed +4
Reinforcement learning (RL) research has demonstrated success in both physical and simulated domains; however, the predominant methodology remains rooted in simulations. The predom…
Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
Khurram Javed, Joseph Modayil, Gloria Kennickell +2
We built a robot called the Robotroller that actuates an Atari CX40+ controller and a device called the Atari Devbox that renders the game frame and the reward signal from the Arca…
Swift-Sarsa: Fast and Robust Linear Control
Khurram Javed, Richard S. Sutton
Javed, Sharifnassab, and Sutton (2024) introduced a new algorithm for TD learning -- SwiftTD -- that augments True Online TD() with step-size optimization, a bound on the effect…
Step-size Optimization for Continual Learning
Thomas Degris, Khurram Javed, Arsalan Sharifnassab +2
In continual learning, a learner has to keep learning from the data over its whole life time. A key issue is to decide what knowledge to keep and what knowledge to let go. In a neu…
Measuring and Mitigating Interference in Reinforcement Learning
Vincent Liu, Han Wang, Ruo Yu Tao +3
Catastrophic interference is common in many network-based learning systems, and many proposals exist for mitigating it. Before overcoming interference we must understand it better.…
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
Khurram Javed, Haseeb Shah, Rich Sutton +1
Constructing states from sequences of observations is an important component of reinforcement learning agents. One solution for state construction is to use recurrent neural networ…