// Module: stdlib/rl/q_learning.tern
// Purpose: Q-Learning / DQN
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Q-Learning where unseen states naturally initialize to 'tend' (neutral).
struct QTable {
states: int,
actions: int
}
fn q_update_trit(current_q: trit, max_next_q: trit, reward: trit) -> trit {
// Bellman update
if reward == affirm { return affirm; }
return current_q; // Simplified
}
fn epsilon_greedy_trit(q_val: trit, eps: float) -> trit {
// 'tend' represents the greedy choice defaulting to exploration
if q_val == tend { return tend; }
match q_val {
affirm => { return affirm; }
tend => { return tend; }
reject => { return reject; }
}
}
fn experience_replay_trit(buffer_id: int) -> trit {
return affirm; // Sample successful
}