The minimax
function in Maple's numapprox
package gives this degree-$10$ polynomial approximation for the solution in $[0,1]$ of $x + x^\alpha = 1$ for $0 \le \alpha \le 1/2$, with maximum absolute error approximately $0.0009402242$:
$$0.0009400602+ 3.91194320\,\alpha- 77.4120170\,{\alpha}^{2}+
1347.847663\,{\alpha}^{3}- 14566.47202\,{\alpha}^{4}+ 97487.90253\,{
\alpha}^{5}- 412006.0427\,{\alpha}^{6}+ 1100200.930\,{\alpha}^{7}-
1798435.690\,{\alpha}^{8}+ 1641636.824\,{\alpha}^{9}- 640721.0464\,{
\alpha}^{10}
$$
EDIT: In view of Kenny Lau's comment, it might be better to allow half-integer powers. The following approximation has maximum absolute error approximately $0.0000307661$:
$$- 0.00003071092+ 0.028174589\, {\alpha^{1/2}}+ 5.33946514\,\alpha- 37.24787894\,{
\alpha}^{3/2}+ 211.7897251\,{\alpha}^{2}- 867.3432359\,{\alpha}^{5/2}+ 2385.793281\,{
\alpha}^{3}- 4267.365191\,{\alpha}^{7/2}+ 4745.954493\,{\alpha}^{4}- 2975.673043\,{\alpha}
^{9/2}+ 802.7705561\,{\alpha}^{5}
$$