Combining Case-Based Reasoning and Reinforcement Learning for Unit Navigation in Real-Time Strategy Game AI-Reference-Cited by-同舟云学术

Combining Case-Based Reasoning and Reinforcement Learning for Unit Navigation in Real-Time Strategy Game AI

Published:2014 Issue: Volume: Page:511-525
ISSN:0302-9743
Container-title:Case-Based Reasoning Research and Development
language:
Short-container-title:

Author:

Wender Stefan,Watson Ian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11209-1_36

Reference20 articles.

1. Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)

2. Bellman, R., Bellman, R.E., Bellman, R.E., Bellman, R.E.: Adaptive control processes: a guided tour, vol. 4. Princeton University Press, Princeton (1961)

3. Brafman, R.I., Tennenholtz, M.: R-max-a general polynomial time algorithm for near-optimal reinforcement learning. The Journal of Machine Learning Research 3, 213–231 (2003)

4. Bulitko, V., Bjornsson, Y., Lawrence, R.: Case-based subgoaling in real-time heuristic search for video game pathfinding. Journal of Artificial Intelligence Research 39, 269–300 (2010)

5. Buro, M., Furtak, T.: Rts games and real-time ai research. In: Proceedings of the Behavior Representation in Modeling and Simulation Conference (BRIMS), pp. 63–70. Citeseer (2004)

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Case-Based Inverse Reinforcement Learning Using Temporal Coherence;Case-Based Reasoning Research and Development;2022

2. Untangling Braids with Multi-Agent Q-Learning;2021 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2021-12

3. A Concept for a Distributed Interchangeable Knowledge Base in CPPS;Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems;2021-11-01

4. An Uncertainty-Incorporated Approach to Predict the Winner in StarCraft II Using Neural Processes;IEEE Access;2019

5. Conflict Handling Framework in Generalized Multi-agent Path finding: Advantages and Shortcomings of Satisfiability Modulo Approach;Proceedings of the 11th International Conference on Agents and Artificial Intelligence;2019