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18 November 2018
- 21:5221:52, 18 November 2018 diff hist +191 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Misc additions (T,E)
- 21:4121:41, 18 November 2018 diff hist +91 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Add misc info (T)
- 21:3421:34, 18 November 2018 diff hist +92 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Add info on robot (T)
- 21:1521:15, 18 November 2018 diff hist +662 Countering Adversarial Images Using Input Transformations Misc additional info (T)
16 November 2018
- 21:1221:12, 16 November 2018 diff hist −145 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Value Network
- 21:1021:10, 16 November 2018 diff hist +97 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Weaknesses
- 21:1021:10, 16 November 2018 diff hist +169 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Selection
- 21:0121:01, 16 November 2018 diff hist +180 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Strengths
- 20:5720:57, 16 November 2018 diff hist +191 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Weaknesses
- 20:5520:55, 16 November 2018 diff hist +1,051 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add details
- 20:3520:35, 16 November 2018 diff hist +176 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Reference curling program
- 12:4212:42, 16 November 2018 diff hist +279 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Weaknesses
- 12:4012:40, 16 November 2018 diff hist +342 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Weaknesses
- 12:3712:37, 16 November 2018 diff hist +1,249 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add a critique
- 12:3012:30, 16 November 2018 diff hist −15 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Future Work
- 12:3012:30, 16 November 2018 diff hist +716 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Describe Results
- 12:2912:29, 16 November 2018 diff hist +58 N File:curling ratings.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 12:1612:16, 16 November 2018 diff hist +2,070 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Discuss some results
- 12:1412:14, 16 November 2018 diff hist +58 N File:curling KR test.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
15 November 2018
- 23:3023:30, 15 November 2018 diff hist +1,077 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add references
- 23:2423:24, 15 November 2018 diff hist +4 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Supervised Learning
- 23:2023:20, 15 November 2018 diff hist −3 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Self-Play Reinforcement Learning
- 23:1823:18, 15 November 2018 diff hist +1,733 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add self-play sections
- 22:5722:57, 15 November 2018 diff hist +1,105 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add information on supervised learning
- 22:5322:53, 15 November 2018 diff hist +58 N File:curling loss function.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 22:4222:42, 15 November 2018 diff hist +682 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Start creating supervised learning section
- 22:3022:30, 15 November 2018 diff hist +421 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Finish off MCTS sections
14 November 2018
- 19:3519:35, 14 November 2018 diff hist +934 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Start describing MCTS used
- 19:2219:22, 14 November 2018 diff hist +58 N File:curling kernel equations.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 19:1119:11, 14 November 2018 diff hist −42 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Sections
- 19:1119:11, 14 November 2018 diff hist +112 m Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling info on input
- 19:0919:09, 14 November 2018 diff hist +1,082 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Initial network description
- 18:5818:58, 14 November 2018 diff hist +58 N File:curling network layers.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 18:4318:43, 14 November 2018 diff hist +243 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Deal with references
- 18:3818:38, 14 November 2018 diff hist +510 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add to kernel regression
- 18:3718:37, 14 November 2018 diff hist +58 N File:kernel regression.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 18:3418:34, 14 November 2018 diff hist +58 N File:gaussian kernel.png Source: http://proceedings.mlr.press/v80/lee18b/lee18b.pdf current
- 18:2418:24, 14 November 2018 diff hist +113 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add Image for UCT
- 18:2118:21, 14 November 2018 diff hist +85 N File:mcts uct equation.png Equation of UTC for MCTS From: https://www.baeldung.com/java-monte-carlo-tree-search current
- 18:1818:18, 14 November 2018 diff hist +2,036 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling Add some MCTS info
13 November 2018
- 14:5514:55, 13 November 2018 diff hist 0 m stat946F18 Add a date
- 14:5414:54, 13 November 2018 diff hist −2 m stat946F18 Remove extra cell
- 12:0312:03, 13 November 2018 diff hist +229 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin Add some details on other methods
- 11:5911:59, 13 November 2018 diff hist +97 m Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin some info
- 11:5111:51, 13 November 2018 diff hist +93 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin bit of info
- 11:4711:47, 13 November 2018 diff hist +25 m Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin Add a bit of info
12 November 2018
- 21:4321:43, 12 November 2018 diff hist +95 m MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION some extra description
- 21:4021:40, 12 November 2018 diff hist +351 MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION Add some info on the architecture/training
- 21:2521:25, 12 November 2018 diff hist +118 m MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION Add some terms from the paper
- 21:0721:07, 12 November 2018 diff hist +101 m MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION Add comment on diversity