Hi, I am Shagun. I am a grad student at Montreal Institute for Learning Algorithms, supervised by Dr. Yoshua Bengio and Dr. Jian Tang. My research focuses on lifelong reinforcement learning - training AI systems that can interact with and learn from the physical world (reinforcement learning) and consistently improve as they do so without forgetting the previous knowledge (lifelong learning). Even a small advance in these areas would be very useful for training intelligent autonomous agents that would need to operate and make decisions over extended periods of time.