- # r = rewards
- # 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[:, :, 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
-
- # a[n,t]=min_s>t r[n,s]