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16 November 2018
- 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