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Home Page: https://crates.io/crates/rl
License: MIT License
A rust reinforcement learning library
Home Page: https://crates.io/crates/rl
License: MIT License
GrassyField gym environment, a simple snake game board
A generalization to Thompson sampling (#12) - https://en.wikipedia.org/wiki/Thompson_sampling#Bayesian_control_rule
An algorithm for adversarial multi-armed bandits - https://en.wikipedia.org/wiki/Multi-armed_bandit#Exp3[56]
As described in this paper, implement a prioritized replay memory.
Implement Double Deep Q Network
FrozenLake gym environment, stolen from python gymnasium, used with Q table example
Still need to figure out what to pull out as an abstraction from this. Will hold off until implementing another algorithm.
Right now, implementing ToTensor
looks a bit hairy. Down the road, I will want to make this simpler, but a good intermediate step is to provide implementations for a couple common state/action data types.
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