Dr.Sainbayar Sukhbaatar will give a talk on memory network on Sept.26th.

The following seminar will be held.

Speaker: Dr.Sainbayar Sukhbaatar (New York University)

Title: Memory network and asymmetric self-play

Time and Place: 14:30--15:30, Sept.26th 2017,  14th Eng.Bld.Room 522

Abstract:  In the first half this talk, I will talk about end-to-end memory network, which is a neural network with an external memory. This memory can store variable number of inputs, and its soft attention mechanism enables the network to selectively access important parts of the memory. Therefore, the memory network can process input items in out-of-order fashion, which is crucial many tasks such dialog system. In the second half, I will talk about my recent work on asymmetric self-play for intrinsic exploration. The idea is to let the agent play a two-phase imitation game with itself. In the task proposal phase, the agent is free to do anything in the environment. Then in the execution phase, the agent is asked to repeat the same thing. As the agent propose and execute increasingly challenging tasks, it learns to navigate the environment efficiently.


  1. Weston et al., Memory Networks, ICLR 2015 https://arxiv.org/abs/1410.3916
  2. Sukhbaatar et al., End-to-End Memory Networks, NIPS 2015 https://arxiv.org/abs/1503.08895
  3. Sukhbaatar et al., Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play, 2017 https://arxiv.org/abs/1703.05407