Presentation Schedule

Note: no more than three students should sign up for the same day. Please send me your paper for approval one week before your scheduled presentation date.
  1. Apr 8: Noah Spenser, Differentiable plasticity: training plastic neural networks with backpropagation
  2. Apr 10: Victoria Proetsch, Learning to Navigate Cities without a Map; Piyusha Jaisinghani, Robotic Grasp Detection using Deep Convolutional NNs; Xavier Banks, Collective Tasks for a Flock of Robots using a Influence Factor; Elham Eslami, SmartSite: Intelligent and autonomous environments, machinery and processes to realize smart road construction projects
  3. Apr 15: Beshant Nandra, Automated Bridge Bidding using Deep RL; Sridevidivyakrishna Devisetty, Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning ; Ashkan Farhangi, Autonomous HVAC Control, A Reinforcement Learning Approach; Naji Khosravan, Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
  4. Apr 17: Rolando Toro, Cooperative Multi-agent Systems using Distributed Reinforcement Learning Techniques; Srikarsarma Parnandivenkata, Action-Conditional Video Prediction using Deep Networks in Atari Games; Jiangfeng Pian, Offensive Positioning Based on Maximum Weighted Bipartite Matching and Voronoi Diagram; Rahul Anand Cheeti, Deep Stack: Expert-Level AI in Heads-up No-Limited Poker
  5. Apr 22: Andy Michel
  1. Apr 9 at 10am Jack Oakley, Shape-based Coordination in Locomotion Control
  2. Apr 15 at 6pm Sean Schindzielorz