Update Tabular RL agents to have epsilon-greedy exploration strategy by default with eps=0.3

rlberry-py / rlberry

An easy-to-use reinforcement learning library for research and education.

https://rlberry-py.github.io/rlberry

MIT License

161 stars 30 forks source link

Update Tabular RL agents to have epsilon-greedy exploration strategy by default with eps=0.3 #380

Closed riiswa closed 1 year ago

riiswa commented 1 year ago

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context, in particular link the relevant issue if it is appropriate. List any dependencies that are required for this change.

riiswa commented 1 year ago

Not needed anymore, Tabular RL agents will be added to rlberry-scool #5