Eric Jang discusses the construction of AlphaGo from scratch, exploring its implications for AI research and development, particularly in game-playing AI and deep reinforcement learning. He emphasizes the significance of combining neural networks with Monte Carlo Tree Search (MCTS) to achieve superior performance in complex environments like Go.
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