The University of Texas at Austin

IJCAI Computers & Thought Talk 2007

• The Talk
  • Full Talk (slides, videos visible)
  • Part 1: Intro by Ron Brachman
  • Part 2
  • Part 3
  • Part 4
• Material used in the talk
  • Slides (pdf)
  • Videos
  • RoboCup keepaway demo
  • Referenced papers
• Photo Albums
  • Photos by Ramon
  • Photos by Miriam
  • Travels

Referenced Papers

• Award Paper:
  • IJCAI 2007 Learning and Multiagent Reasoning for Autonomous Agents

• Others Papers from Stone's Lab (in order referenced):
  • ECML 2000: Layered learning
  • AAAI 2004: Machine Learning for Fast Quadrupedal Locomotion
  • RoboCup 2006: The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
  • IJCAI 2005: Autonomous Color Learning on a Mobile Robot
  • AAMAS 2007: Batch Reinforcement Learning in a Complex Domain
  • Adaptive Behavior 2005: Reinforcement Learning for RoboCup-Soccer Keepaway
  • JMLR 2006: Evolutionary Function Approximation for Reinforcement Learning
  • AAMAS 2004: Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
  • JAIR 2003: Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions
  • AAAI 2006: TacTex-2005: A Champion Supply Chain Management Agent
  • ICEC 2006: Adaptive Mechanism Design: A Metalearning Approach
  • IJCAI 2007: Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
  • IJCAI 2007: Machine Learning for On-Line Hardware Reconfiguration
  • IJCAI 2007: Sharing the Road: Autonomous Vehicles meet Human Drivers
  • IJCAI 2007: General Game Learning using Knowledge Transfer

• Other Peoples' Papers and Talks:
  • Russell 1995: Rationality and Intelligence
  • Koller 2001: Representation, Reasoning, Learning
  • Cohen 2004: If Not the Turing Test, Then What?
  • Brooks 1991: Intelligence without Representation
  • Richardson and Domingos 2006: Markov Logic Networks
  • Kitano et al. 1997: RoboCup: The Robot World Cup Initiative
  • Mitchell 1983: Learning and Problem-Solving
  • Kaelbling 1997: Why Robbie Can't Learn: The Difficulty of Learning in Autonomous Agents
  • Watkins 1989: Learning from Delayed Rewards
  • Tesauro 1994: TD-Gammon, a self-teaching backgammon program, achieves master-level play
  • Ng et al. 2003: Inverted autonomous helicopter flight via reinforcement learning
  • Lin 1992: Self-improving reactive agents based on reinforcement learning, planning and teaching
  • Ernst et al. 2005: Tree-based batch mode reinforcement learning
  • Lagoudakis and Parr 2003: Least-Squares Policy Iteration
  • Baird 1995: Residual Algorithms: Reinforcement Learning with Function Approximation
  • Boyan and Moore 1995: Generalization in Reinforcement Learning: Safely Approximating the Value Function
  • Stanley and Miikkulainen 2002: Evolving Neural Networks Through Augmenting Topologies
  • Steels 1996: Synthesising the origins of language and meaning using co-evolution, self-organisation and level formation
  • Jim and Giles 2000: Talking Helps: Evolving Communicating Agents for the Predator-Prey Pursuit Problem
  • Sandholm 2003: Automated mechanism design: A New Application Area for Search Algorithms