Implements reinforcement learning environments and algorithms as described in Sutton & Barto (1998, ISBN:0262193981). The Q-Learning algorithm can be used with function approximation, eligibility traces (Singh & Sutton (1996) <doi:10.1007/BF00114726>) and experience replay (Mnih et al. (2013) <arXiv:1312.5602>).
Package details | 
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| Maintainer | |
| License | MIT + file LICENSE | 
| Version | 0.2.0 | 
| URL | http://markusdumke.github.io/reinforcelearn | 
| Package repository | View on GitHub | 
| Installation | 
                Install the latest version of this package by entering the following in R:
                
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