if lookahead_delta is not None:
r = rewards
- print(f"{r.size()=} {lookahead_delta=}")
u = F.pad(r, (0, lookahead_delta - 1)).as_strided(
(r.size(0), r.size(1), lookahead_delta),
(r.size(1) + lookahead_delta - 1, 1, 1),
)
- a = u.min(dim=-1).values
- b = u.max(dim=-1).values
+ a = u[:, :, 1:].min(dim=-1).values
+ b = u[:, :, 1:].max(dim=-1).values
s = (a < 0).long() * a + (a >= 0).long() * b
lookahead_rewards = (1 + s[:, :, None]) + first_lookahead_rewards_code
######################################################################
if __name__ == "__main__":
- nb, height, width, T = 8, 4, 6, 20
+ nb, height, width, T = 10, 4, 6, 20
states, actions, rewards = generate_episodes(nb, height, width, T)
- seq = episodes2seq(states, actions, rewards, lookahead_delta=5)
+ seq = episodes2seq(states, actions, rewards, lookahead_delta=T)
s, a, r, lr = seq2episodes(seq, height, width, lookahead=True)
print(episodes2str(s, a, r, lookahead_rewards=lr, unicode=True, ansi_colors=True))