Reuse of Neural Modules for General Video Game Playing
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Elliot Meyerson | Risto Miikkulainen | Alexander Braylan | Mark Hollenbeck | R. Miikkulainen | Elliot Meyerson | Mark Hollenbeck | Alexander Braylan
[1] Tom Schaul,et al. A video game description language for model-based or interactive learning , 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).
[2] Jürgen Schmidhuber,et al. Training Recurrent Networks by Evolino , 2007, Neural Computation.
[3] Kenneth O. Stanley,et al. Evolving Static Representations for Task Transfer , 2010, J. Mach. Learn. Res..
[4] Thomas R. Shultz,et al. Knowledge-based cascade-correlation: Using knowledge to speed learning , 2001, Connect. Sci..
[5] Peter Stone,et al. The Impact of Determinism on Learning Atari 2600 Games , 2015, AAAI Workshop: Learning for General Competency in Video Games.
[6] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[7] Shimon Whiteson,et al. Transfer via inter-task mappings in policy search reinforcement learning , 2007, AAMAS '07.
[8] Julian Togelius,et al. Ieee Transactions on Computational Intelligence and Ai in Games the 2014 General Video Game Playing Competition , 2022 .
[9] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[10] Herbert Jaeger,et al. Reservoir computing approaches to recurrent neural network training , 2009, Comput. Sci. Rev..
[11] Elliot Meyerson,et al. Frame Skip Is a Powerful Parameter for Learning to Play Atari , 2015, AAAI Workshop: Learning for General Competency in Video Games.
[12] Risto Miikkulainen,et al. Evolving Reusable Neural Modules , 2004, GECCO.
[13] Peter Stone,et al. Autonomous transfer for reinforcement learning , 2008, AAMAS.
[14] Jürgen Schmidhuber,et al. Evolving deep unsupervised convolutional networks for vision-based reinforcement learning , 2014, GECCO.
[15] Matthew E. Taylor,et al. Policy Transfer using Reward Shaping , 2015, AAMAS.
[16] Marc G. Bellemare,et al. The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) , 2012, IJCAI.
[17] Risto Miikkulainen,et al. Incremental Evolution of Complex General Behavior , 1997, Adapt. Behav..
[18] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[19] Erik Talvitie,et al. An Experts Algorithm for Transfer Learning , 2007, IJCAI.
[20] Eric Eaton,et al. Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment , 2015, AAAI.
[21] Jürgen Schmidhuber,et al. Co-evolving recurrent neurons learn deep memory POMDPs , 2005, GECCO '05.
[22] Xin Yao,et al. Co-evolutionary modular neural networks for automatic problem decomposition , 2005, 2005 IEEE Congress on Evolutionary Computation.
[23] Andrew G. Barto,et al. Transfer in Reinforcement Learning via Shared Features , 2012, J. Mach. Learn. Res..
[24] Eric Eaton,et al. Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning , 2015, IJCAI.
[25] Elliot Meyerson,et al. On the Cross-Domain Reusability of Neural Modules for General Video Game Playing , 2015, CGW/GIGA@IJCAI.
[26] Risto Miikkulainen,et al. A Neuroevolution Approach to General Atari Game Playing , 2014, IEEE Transactions on Computational Intelligence and AI in Games.
[27] Risto Miikkulainen,et al. Solving Non-Markovian Control Tasks with Neuro-Evolution , 1999, IJCAI.
[28] Risto Miikkulainen,et al. Robust non-linear control through neuroevolution , 2003 .
[29] Samarth Swarup,et al. Cross-Domain Knowledge Transfer Using Structured Representations , 2006, AAAI.
[30] Michael L. Anderson. Neural reuse: A fundamental organizational principle of the brain , 2010, Behavioral and Brain Sciences.
[31] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.