2 citations · 3 across the 4 of their papers we have counts for
4 papers
Paused Agent Replay Refresh
Benjamin Parr
Reinforcement learning algorithms have become more complex since the invention of target networks. Unfortunately, target networks have not kept up with this increased complexity, i…
Deep In-GPU Experience Replay
Ben Parr
Experience replay allows a reinforcement learning agent to train on samples from a large amount of the most recent experiences. A simple in-RAM experience replay stores these most…
Convergence Analysis of Gradient Descent Algorithms with Proportional Updates
Igor Gitman, Deepak Dilipkumar, Ben Parr
The rise of deep learning in recent years has brought with it increasingly clever optimization methods to deal with complex, non-linear loss functions. These methods are often desi…
Nintendo Super Smash Bros. Melee: An "Untouchable" Agent
Ben Parr, Deepak Dilipkumar, Yuan Liu
Nintendo's Super Smash Bros. Melee fighting game can be emulated on modern hardware allowing us to inspect internal memory states, such as character positions. We created an AI tha…