187 citations · 482 across the 18 of their papers we have counts for
3 papers · 1 filter
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play
Daniel Bairamian, Philippe Marcotte, Joshua Romoff +2
Recent advances in Competitive Self-Play (CSP) have achieved, or even surpassed, human level performance in complex game environments such as Dota 2 and StarCraft II using Distribu…
Improving Intrinsic Exploration by Creating Stationary Objectives
Roger Creus Castanyer, Joshua Romoff, Glen Berseth
Exploration bonuses in reinforcement learning guide long-horizon exploration by defining custom intrinsic objectives. Several exploration objectives like count-based bonuses, pseud…
Learning Computational Efficient Bots with Costly Features
Anthony Kobanda, Valliappan C. A., Joshua Romoff +1
Deep reinforcement learning (DRL) techniques have become increasingly used in various fields for decision-making processes. However, a challenge that often arises is the trade-off…