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. Mar 20
  2. Mar 22: Hung Le, Playing FPS Games with Deep Reinforcement Learning; Javier Lores, A Neuroevolution Approach to General Atari Gameplay; Saurabh Farkya, Learning Visual Predictive Models of Physics for Playing Billiards
  3. Office Hours: Reema Shababou
  4. Mar 27: no class
  5. Mar 29: no class
  6. Apr 3: Mengmeng Chen, Linear Feature Encoding for Reinforcement Learning; Girish Kannan, Multi-robot Auctions for Allocations of Tasks with Temporal Constraints; Nisarg Chitaliya, What Would You Do? Acting By Learning How to Predict
  7. Apr 5: Deepa Lakshmi, Robot path planning in uncertain environments using multi-objective particle optimization; Reamonn Norat, Estimation of player's preference for cooperative RPGs using multi-strategy Monte Carlo method; Sayyed Jaffar Ali Raza, Efficient Path Planning Methods for UAVs Inspecting Power Lines
  8. Apr 10: Saif Mohammed, Scale-aware navigation of a low-cost quadcopter with a monocular camera; Brandon Jones, Towards automatic StarCraft strategy generation using genetic programming; Nitish Gupta, An MCMC-based Particle Filter for Tracking Multiple Interacting Targets
  9. Apr 12: Jack Vice, Learning Genetic Representations for Classes of Real-valued Optimization Problems; Siavash Khodadedeh, Portfolio Greedy Search and Simulation for Large-scale Combat in Starcraft; Sharare Zehtabian, Grounded Action Transformation for Robot Learning in Simulation
  10. Apr 17: no class
  11. Apr 19: Jose Sanchez; Nabil Ettehadi, A task parameterized probabilistic model with minimal intervention control; Sahar Tavakoli, Mobile robot path planning using artificial bee colony and evolutionary programming