11 citations · 28 across the 8 of their papers we have counts for
Showing 2019Show all
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cs.MA2019★ 1 cited
ColosseumRL: A Framework for Multiagent Reinforcement Learning in -Player Games
Alexander Shmakov, John Lanier, Stephen McAleer +3
Much of recent success in multiagent reinforcement learning has been in two-player zero-sum games. In these games, algorithms such as fictitious self-play and minimax tree search c…
cs.LG2019★ 11 cited
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John B. Lanier, Stephen McAleer, Pierre Baldi
Dealing with sparse rewards is a longstanding challenge in reinforcement learning. The recent use of hindsight methods have achieved success on a variety of sparse-reward tasks, bu…