154 citations · 487 across the 15 of their papers we have counts for
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cs.LG2020★ 3 cited
Correcting Experience Replay for Multi-Agent Communication
Sanjeevan Ahilan, Peter Dayan
We consider the problem of learning to communicate using multi-agent reinforcement learning (MARL). A common approach is to learn off-policy, using data sampled from a replay buffe…
cs.AI2020
Static and Dynamic Values of Computation in MCTS
Eren Sezener, Peter Dayan
Monte-Carlo Tree Search (MCTS) is one of the most-widely used methods for planning, and has powered many recent advances in artificial intelligence. In MCTS, one typically performs…