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portfolio

publications

Deep Reinforcement Learning with Analogous Disentangled Exploration

Published in AAMAS 2020, 2019

A novel continuous control RL algorithm that disentangle exploration and exploitation to get better performance in both dense and sparse reward tasks.

Recommended citation: Liu A, Liang Y, Van den Broeck G. "Deep Reinforcement Learning with Analogous Disentangled Exploration." International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2020.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.