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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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awards
portfolio
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publications
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
Published in Arxiv, 2020
Recommended citation: Jiajun Fan, He Ba, Xian Guo, Jianye Hao, "Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning." Arxiv, 2020. https://arxiv.org/abs/2011.06752
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions
Published in In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2021
Recommended citation: Jiajun Fan, "A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions." In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2021. https://arxiv.org/abs/2112.04145.html
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
Published in Arxiv, 2021
Recommended citation: Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, "An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning." Arxiv, 2021. https://arxiv.org/abs/2106.00707
CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation
Published in Arxiv, 2021
Recommended citation: Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, "CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation." Arxiv, 2021. https://arxiv.org/abs/2105.03923
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Published in In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2021
Recommended citation: Jiajun Fan, Changnan Xiao, Yue Huang, "GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning." In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2021. https://arxiv.org/abs/2106.06232
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
Published in In the proceedings of Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
Recommended citation: Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, Haiyan Yin, "CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration." In the proceedings of Deep Reinforcement Learning Workshop NeurIPS 2022, 2022. https://arxiv.org/abs/2105.03923.html
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications
Published in Arxiv, 2022
Recommended citation: Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu, "Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications." Arxiv, 2022. https://doi.org/10.48550/arXiv.2210.11039
Generalized Data Distribution Iteration
Published in In the proceedings of International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
Recommended citation: Jiajun Fan, Changnan Xiao, "Generalized Data Distribution Iteration." In the proceedings of International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022. https://proceedings.mlr.press/v162/fan22c.html
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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