Fetching the paper…
Reading the bibliography…
Behavior Trees are commonly used to model agents for robotics and games, where constrained behaviors must be designed by human experts in order to guarantee that these agents will execute a specific chain of actions given a specific set of perceptions.
Parr, R., Russell, S.: Reinforcement learning with hierarchies of machines. Advances in neural information processing systems pp. 1043–1049 (1998)
1998
Earlier work this paper cites.
Sutton, R.S., Barto, A.G.: Reinforcement learning: An introduction. MIT Press, Cambridge, MA, USA, 1st edn. (1998)
1998
Earlier work this paper cites.
Sutton, R.S., Precup, D., Singh, S.: Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning. Artificial intelligence 112(1), 181–211 (1999)
1999
Earlier work this paper cites.
Dietterich, T.G.: Hierarchical reinforcement learning with the maxq value function decomposition. J. Artif. Intell. Res.(JAIR) 13, 227–303 (2000)
2000
Earlier work this paper cites.
Barto, A.G., Mahadevan, S.: Recent advances in hierarchical reinforcement learning. Discrete Event Dynamic Systems 13(4), 341–379 (2003)
2003
Earlier work this paper cites.
Flórez-Puga, G., Gómez-Martín, M.A., Gómez-Martín, P.P., Díaz-Agudo, B., González-Calero, P.A.: Query-enabled behavior trees. Computational Intelligence and AI in Games, IEEE Transactions on 1(4), 298–308 (2009)
2009
Cited alongside, same era.
Palma, R., González-Calero, P.A., Gómez-Martín, M.A., Gómez-Martín, P.P.: Extending case-based planning with behavior trees. In: FLAIRS Conference (2011)
2011
Cited alongside, same era.
Johansson, A., Dell’Acqua, P.: Emotional behavior trees. In: Computational Intelligence and Games (CIG), 2012 IEEE Conference on. pp. 355–362. IEEE (2012)
2012
Cited alongside, same era.
Ogren, P.: Increasing modularity of uav control systems using computer game behavior trees. In: AIAA Guidance, Navigation and Control Conference, Minneapolis, MN (2012)
2012
Cited alongside, same era.
Colledanchise, M., Ogren, P.: How behavior trees modularize robustness and safety in hybrid systems. In: Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on. pp. 1482–1488. IEEE (2014)
2014
Later among the works it cites.
Marzinotto, A., Colledanchise, M., Smith, C., Ogren, P.: Towards a unified behavior trees framework for robot control. In: Robotics and Automation (ICRA), 2014 IEEE International Conference on. pp. 5420–5427. IEEE (2014)
2014
Later among the works it cites.
2015
Closest in time.
Isla, D.: Gdc 2005 proceeding: Handling complexity in the halo 2 ai (March 2005), http://www.gamasutra.com/view/feature/130663/gdc_2005_proceeding_handling_.php
2015
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Colledanchise, M., Marzinotto, A., Ogren, P.: Performance analysis of stochastic behavior trees. In: Robotics and Automation (ICRA), 2014 IEEE International Conference on. pp. 3265–3272. IEEE (2014)
2014
Cited alongside, same era.
Pereira, R.d.P.: Behavior3 (2014), http://behavior3.com/
2015
Closest in time.